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Format: 1 Online-Ressource

ISBN: 9789048542727

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DOI: 10.1515/9789048542727b

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Format: 1 online resource (321)

Edition: 1st ed.

ISBN: 0-520-29650-8

Content: "Han Hyung-mo was a major figure within South Korea’s Golden Age cinema. The director of Madame Freedom (1956), the most famous film of the 1950s, Han made popular films that explored women’s relationship to modernity. He was also a master stylist who introduced technological innovations and fresh ideas about film form and genre into Korean cinema. This book offers a transnational cultural history of Han’s films, one that foregrounds questions of gender and style. Han’s films embody a period style that Klein calls “Cold War cosmopolitanism.” The waging of the Cold War enmeshed South Korea within a network of ties to the Free World. Fostered by political leaders like Syngman Rhee, American institutions such as the US military and the Asia Foundation, and ordinary Koreans, these networks created channels through which material resources, liberal ideas, and cultural texts flowed into and out of Korea. Han and other cultural producers tapped into these networks to create new forms of commercial culture that meshed local concerns with foreign trends. Combining extensive archival research and in-depth analyses of individual films, Cold War Cosmopolitanism offers a fresh, interdisciplinary perspective on the waging of the cultural Cold War in Asia."

Note: Frontmatter -- , Contents -- , Illustrations -- , Video Clips -- , Acknowledgments -- , Introduction -- , 1. Postcolonial, Postwar, Cold War -- , 2. Cold War Cosmopolitan Feminism -- , 3. Public Culture -- , 4. The Après Girl -- , 5. Film Culture, Sound Culture -- , 6. Consumer Culture and the Black Market -- , 7. A Commitment to Showmanship -- , Conclusion -- , Notes -- , Filmography -- , Bibliography -- , Index , English.

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DOI: 10.1525/luminos.85

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URL: https://doi.org/10.1525/9780520968981

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Format: 1 Online-Ressource (453 p)

ISBN: 9781783745548 , 1783745541 , 9781783745562 , 1783745568 , 1783745541 , 1783745568 , 9781783745548 , 9781783745562

Content: 6. Remembering Hermynia Zur Mühlen: A Tribute7. Works by Hermynia Zur Mühlen in English Translation; 8. Image Portfolio; List of Illustrations

Content: Translator's Introductory Note; Acknowledgements; 1. The End and the Beginning: The Book of My Life by Hermynia Zur Mühlen; 2. Supplement to The End and the Beginning* by Hermynia Zur Mühlen; 3. Notes on Persons and Events Mentioned in the Memoir by Lionel Gossman; 4. Feuilletons and Fairy Tales: A Sampling; The Red Redeemer; Confession; High Treason; Death of a Shade; A Secondary Happiness; The Señora; Miss Brington; We Have to Tell Them; Painted on Ivory; The Sparrow; The Spectacles; 5. Our Daughters the Nazi Girls. A Synopsis in English

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Additional Edition: ISBN 9781783745555

Additional Edition: ISBN 9781783745555

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Keywords: Electronic books ; Electronic books ; Electronic books. ; Criticism, interpretation, etc.

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Author information: Zur Mühlen, Hermynia 1883-1951

Author information: Gossman, Lionel 1929-2021

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Format: 1 Online-Ressource (450 p.)

ISBN: 9783839456323

Series Statement: Science Studies

Content: Forschung wird zunehmend aus Sicht ihrer Ergebnisse gedacht - nicht zuletzt aufgrund beträchtlicher Umwälzungen im System Wissenschaft. Die 50 Beiträger*innen und Beiträger*innenkollektive des Bandes sowie Künstler*innen lenken den Fokus jedoch auf diejenigen Prozesse, die Forschungsergebnisse erst ermöglichen und Forschungspraxen konturieren. Sie bieten Einblicke in ihre Suchbewegungen, die als situierte Wissenschaftspraktiken zu verstehen sind. Alle Beiträge knüpfen auf reflexive Weise am Aushandlungs- und Verständigungsprozess im Kontext des Forschens an. Ausgangspunkt der Betrachtungen sind Abkürzungen - die vermeintlich kleinsten Einheiten wissenschaftlicher Verständigung. Über die Erziehungs-, Sozial-, Medien- und Kunstwissenschaften im Horizont ihrer Vermittlung hinaus wird schließlich ein vieldimensionales Bild gegenwärtigen forschenden Handelns mit transdisziplinären Anknüpfungspunkten zwischen Digitalisierung und Digitalität gezeichnet

Note: Frontmatter , Inhalt , Vorwort , Eine paradoxe kleine Form, keine Abkürzung , Software und ihre Bedeutung für eine erziehungswissenschaftliche Medienforschung , Nein ist Zufall , Queer Reading, Writing and Performing Text with the Young Girl Reading Group , Signifikanz , Zum Potenzial des Hashtags für Wissenschaft und Forschung , Forschung unter Einbezug des Bildlichen , Transkripte als Irritation wissenschaftlichen Schreibens in Absätzen , Forschungsorganisation an Hochschulen für angewandte Wissenschaften , Designforschung im Kontext sozialer und politischer Partizipation , Drei Überlegungen zum scheinbar Allgemeinen , Phänomene, Persona, Publikum des Wissenschaftsblogs , Training for Complexity , Verstreutes Wissen. Die Hochschule der Kopier-Maschinen , Von Verbindungen und Banden des Wissens , Eine bildungswissenschaftliche Sicht auf Künstliche Intelligenz , Im paradoxen Feld der gewollten Ungenauigkeit , Creative Commons , Ein Kommando zur Berechnung auf der Hinterbühne , Visual Essay , Ein erster Versuch , Doing Research als Blicke ins Buch(-konzept) , Die Einführung in Wissenschaft als Aushandlungsprozess , ... und Versionen. Publizieren in digitalen Makromilieus , The Hidden Others in Research , Wissenschaftliche Zusammenarbeit zwischen Anspruch und Wirklichkeit , Reglementierte Fragilität und performende Unschärferäume , For whose eyes only? Zur Sichtbarkeit von Forschungsprozessen , Future Tense: AI from the Margins , Zu den Möglichkeitsbedingungen von Ästhetischer Film-Bildung , Zwischen Vernetzung, Diskurs-anregung und Kooperation , Kollaboration sichtbar machen , (K)eine Regel für die Regel? , What is it, I do(n't) not know? I (we) do not know (but will feel) the name , Schreibtischforschung , Mit und ohne Namen: Warum jedes Schreiben situiert ist , Wie ein fehlendes Datum Standards, Temporalität und Legitimität gestalten kann , Recherchepraktiken, Datenquellen und Modellierungen , Aber standortgebunden: Wissenschafts- theoretische Verortungen , Forschungspraxis des Verweisens, Forschungspraxis des Verweisens, , Mit Lauren Berlant durch den Türspalt der Zeiten , Tabellen und Träume als Technologien des Wissens , Ethnomethodologische Überlegungen zur Erforschung wissenschaftlicher Textproduktion , Das Wissen der "Anderen". Oder: Den weißen Diskursraum denormalisieren , Aus der Reihe Tanzen als akademische Performance , Texte schreiben, autorisieren, bewerten , Eine Kartographie des wissenschaftlichen Verlegens , Funktionalitäten in Erziehungswissenschaft und Design , Verhandlungen , Die Funktionen des Internets für die Wissenschaft , Forschungsmethod(olog)ische Überlegungen zum Verallgemeinern , Vom Umgang mit politischen Bildwelten , Autor*innen , In German

Additional Edition: ISBN 9783837656329

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Language: German

Keywords: Electronic books.

DOI: 10.1515/9783839456323

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Format: 1 online resource (435 pages) : , illustrations.

ISBN: 9783839450550 (e-book)

Series Statement: Critical dance studies (Bielefeld, Germany) ; Volume 56

Additional Edition: Print version: Klein, Gabriele. Pina Bausch's dance theater : company, artistic practices and reception. [Place of publication not identified] : Transcipt, c2020 ISBN 9783837650556

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Format: 1 online resource (572 pages)

Edition: 1st ed.

ISBN: 9789811270611

Additional Edition: Print version: Altman, Russ B Biocomputing 2023 - Proceedings Of The Pacific Symposium Singapore : World Scientific Publishing Company,c2022 ISBN 9789811270604

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Format: 1 online resource (517 pages)

ISBN: 9789814644730

Note: Intro -- 2PSB20AnniversaryFinalv2 -- all-cp -- 0intro-cancerpanomics -- ching -- deshwar -- jang -- lehman -- nasser -- wu -- all-cp -- 0intro-cancerpathways -- engin -- kim -- 1. Introduction -- 2. Methods -- 2.1. Data -- 2.2. BioBin -- 2.3. ATHENA -- 2.4. Grammatical Evolution Neural Networks (GENN) -- 2.5. Survival fitness function -- 2.6. Experiment setup -- 3. Results and Discussion -- 3.1. Binning somatic mutations using BioBin -- 3.2. GENN modeling for somatic mutation burden -- 3.3. Biological interpretation -- 4. Conclusions -- Acknowledgments -- lockwood -- poon -- tan -- yang -- all-interactions -- 1intro-interactions -- crawford -- darabos -- frost -- holzinger -- Holzinger_PSB2015_r2VIM_1Oct2014 -- 1.   Introduction -- 1.1.   Variable selection that allows for interactions -- 2.   Methods -- 2.1.   r2VIM -- 2.2.   Data Simulation -- 3.   Results -- 3.1.   Simulated Data -- 4.   Discussion -- hu -- jeff -- patel -- restrepo -- wang -- all-crowd -- 1intro-crowdsourcing -- binder -- good -- irshad -- odgers -- waldispuhl -- all-pm -- 0intro-pm -- birol -- chang -- diggans -- fan-minogue -- glicksberg -- hinterberg -- huang -- makashir -- 2. Methods -- 2.1. Statistical framework for meta-analysis of differential co-expression -- 2.1.1. s score definition -- 2.1.2. Probability distribution of s scores -- 2.2. SLE dataset selection for meta-analysis -- 2.3. Data pre-processing -- 2.4. Meta-analysis of differential gene co-expression in SLE -- 2.5. Comparison of Type I error rates and statistical power -- 2.6. Differential expression analysis -- 2.7. Identification and annotation of gene modules -- 3. Results -- 3.1. A network of genes specifically co-expressed in SLE -- 3.2. Gene co-expression modules specific to SLE -- 3.2.1. Type I interferon response. , 3.2.2. Cell movement and response to wounding -- 3.2.3. Immune defense against extracellular organisms -- 4. Discussion -- 5. Conclusions -- nie -- sengupta -- all-wkshop -- 1wkshop-human -- 2wkshop-discovery -- 3wkshp-public -- 4wkshop-bioinfo -- 5psb15-erratum.

Additional Edition: Print version: Altman, Russ B Pacific Symposium On Biocomputing 2015 Singapore : World Scientific Publishing Company,c2014 ISBN 9789814644723

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Format: 1 online resource (762 pages)

ISBN: 9789811215636

Note: Intro -- Content -- Preface -- ARTIFICIAL INTELLIGENCE FOR ENHANCING CLINICAL MEDICINE -- Session Introduction: Artificial Intelligence for Enhancing Clinical Medicine -- 1. Introduction -- 2. Novel Research Applying Artificial Intelligence to Clinical Medicine -- 2.1. Artificial intelligence for predicting patient outcomes -- 2.2. Artificial intelligence for improved insight into disease pathogenesis and features -- 3. Artificial intelligence for advancing medical workflows -- 4. Artificial intelligence for improving imaging -- 5. Conclusion -- References -- Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification and Regression Model -- 1. Introduction -- 2. Methods -- 2.1. The Longitudinal Joint Learning Model -- 2.2. The Solution Algorithm Using the Multi-Block ADMM -- 3. Experiments -- 3.1. Performance -- 3.2. Empirical Convergence -- 3.3. Biomarker Identification -- 4. Conclusion -- Acknowledgements -- References -- Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph -- 1. Introduction -- 2. Related Work -- 3. Methods -- 3.1. Data collection and preparation -- 3.2. Evaluation with GHKG -- 3.3. Disease predictability analysis -- 3.4. Demographic analysis -- 3.5. Non-linear methods -- 4. Results -- 5. Discussion -- 5.1. Data size does not always matter. -- 5.2. Confounders may explain errors -- 5.3. Increased model complexity does not necessarily help -- 5.4. Limitations remain as an opportunity for future work -- 6. Conclusion -- Acknowledgements -- References -- Increasing Clinical Trial Accrual via Automated Matching of Biomarker Criteria -- 1. INTRODUCTION -- 2. MATERIALS AND METHODS -- 2.1. Specimens and Retrospective Analysis -- 2.2. Real-time Analysis -- 2.3. Source of Biomarker-based Clinical Trial Data -- 3. RESULTS. , 3.1. STAMP assay identifies somatic mutations -- 3.2. Algorithmic pipeline flags eligible patients for precision medicine clinical trials -- 3.2.1. Automation of Feature Matching -- 3.2.2. Manual Review of Matching Output -- 3.3. Validation of algorithmic pipeline -- 3.4. Match rate analysis of STAMP-identified mutations -- 4. DISCUSSION -- 4.1. Incorporation of informatics into clinical workflows -- 4.2. Limitations of algorithmic pipelines -- 5. CONCLUSION -- 6. AUTHOR CONTRIBUTIONS -- 7. ACKNOWLEDGEMENTS -- 8. REFERENCES -- 9. FIGURES -- 10. SUPPLEMENTARY TABLES AND FIGURES -- Addressing the Credit Assignment Problem in Treatment Outcome Prediction Using Temporal Difference Learning -- 1. Introduction -- 2. Dataset -- 3. Methods -- 3.1. Feature Extraction -- 3.2. Temporal Difference Learning -- 3.2.1. State-Estimation -- 3.2.2. Value Iteration -- 3.2.3. Optimization -- 3.3. Baselines and Performance Measure -- 4. Results -- 5. Discussion and Conclusion -- References -- Multiclass Disease Classification from Microbial Whole-Community Metagenomes -- 1. Introduction -- 2. Previous Work -- 3. Problem Setup -- 3.1. Dataset Construction -- 3.2. Graph Convolutional Neural Networks -- 3.3. Models -- 3.4. Training -- 4. Results -- 5. Conclusion -- 6. Acknowledgments -- 7. External Links -- References -- LitGen: Genetic Literature Recommendation Guided by Human Explanations -- 1. Introduction -- 2. Clinical Variant Curation Data -- 2.1. ClinGen's Variant Curation Interface (VCI) -- 2.2. Labeled papers -- 2.3. Unlabeled papers -- 3. Method -- 3.1. BiLSTM baseline -- 3.2. Leveraging unlabeled data -- 3.3. Explanations in multitask learning -- 3.4. Explanations as feature selection for proxy labeling -- 4. Experimental results -- 4.1. Evaluation metrics -- 4.2. Performance comparison -- 4.3. Performance of Proxy Labeling Model. , 4.4. Performance by Evidence Types -- 5. Discussion -- References -- From Genome to Phenome: Predicting Multiple Cancer Phenotypes Based on Somatic Genomic Alterations via the Genomic Impact Transformer -- 1. Introduction -- 2. Materials and methods -- 2.1. SGAs and DEGs pre-processing -- 2.2. The GIT neural network -- 2.2.1. GIT network structure: encoder-decoder architecture -- 2.2.2. Pre-training gene embeddings using Gene2Vec algorithm -- 2.2.3. Encoder: multi-head self-attention mechanism -- 2.2.4. Decoder: multi-layer perceptron (MLP) -- 2.3. Training and evaluation -- 3. Results -- 3.1. GIT statistically detects real biological signals -- 3.2. Gene embeddings compactly represent the functional impact of SGAs -- 3.4. Personalized tumor embeddings reveal distinct survival profiles -- 3.5. Tumor embeddings are predictive of drug responses of cancer cell lines -- 4. Conclusion and Future Work -- Acknowledgments -- Funding -- References -- Automated Phenotyping of Patients with Non-Alcoholic Fatty Liver Disease Reveals Clinically Relevant Disease Subtypes -- 1. Introduction -- 2. Methods -- 2.1. NAFLD definition -- 2.2. Natural language processing -- 2.3. Data collection -- 2.4. Clinical feature standardization and quality control -- 2.4.1. Demographic data -- 2.4.2. Diagnoses, procedures, medications -- 2.4.3. Laboratory tests -- 2.4.4. Vital signs -- 2.5. Patient pairwise distance and clustering -- 2.6. Statistical analysis -- 2.6.1. Descriptive statistics -- 2.6.2. Survival analysis -- 3. Results -- 3.1. Descriptive statistics for the cohort -- 3.2. Identification of NAFLD subtypes -- 3.3. Identification of distinct outcomes by NAFLD subtype -- 3.4. Internal cross-validation of the subtypes discovered -- 4. Conclusion -- 5. References -- References -- Monitoring ICU Mortality Risk with a Long Short-Term Memory Recurrent Neural Network. , 1. Introduction -- 2. Background and Related Work -- 3. Data and Preprocessing -- 3.1. Data Source and Cohort Selection -- 3.2. Data Extraction and Preprocessing -- 4. Methodology -- 4.1. Mortality Monitoring Task -- 4.2. Average Pooling and Attention Mechanism -- 4.3. Recurrent Neural Network (RNN) -- 5. Experimental Design -- 5.1. Sampling Strategy -- 5.2. Baseline Model -- 5.3. Experimental Settings -- 6. Results and Analysis -- 6.1. Dimensionality Analysis -- 6.2. Prediction with Different Feature Representations -- 6.3. Interpreting Mortality of Learned Representation -- 7. Discussion and Conclusions -- References -- Multilevel Self-Attention Model and Its Use on Medical Risk Prediction -- 1. Introduction -- 2. Related Work -- 2.1. Future disease prediction -- 3. Methods -- 3.1. Terminology and Notation -- 3.2. Model Architecture -- 3.3. Self-attention Encoder Unit -- 3.4. Loss Function -- 4. Experiments -- 4.1. Source of Data -- 4.2. Dataset preprocessing -- 4.3. Implementation details -- 5. Results -- 5.1. Future disease prediction -- 5.2. Future cost prediction -- 5.3. Case study for the self-attention mechanism -- 6. Conclusion -- 7. Bibliography -- Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care Physicians -- 1. Introduction -- 2. Data -- 2.1. EMRPC -- 2.2. Total Healthcare Costs -- 2.3. Encoding of Ordinal Variables -- 2.4. Word Embeddings -- 3. Methods -- 3.1. Bag of Words -- 3.2. EmbEncode -- 3.3. Historical Baseline -- 3.4. Varying the Training Set -- 3.5. Varying the Evaluation Set -- 4. Results -- 5. Discussion -- Acknowledgments -- References -- Obtaining Dual-Energy Computed Tomography (CT) Information from a Single-Energy CT Image for Quantitative Imaging Analysis of Living Subjects by Using Deep Learning -- 1. Introduction -- 2. Methods -- 3. Results. , 4. Discussion and Conclusion -- 5. Acknowledge -- References -- INTRINSICALLY DISORDERED PROTEINS (IDPS) AND THEIR FUNCTIONS -- Session Introduction: On the Importance of Computational Biology and Bioinformatics to the Origins and Rapid Progression of the Intrinsically Disordered Proteins Field -- 1. Introduction -- 2. Computational prediction of IDPs and IDRs and their functions -- 3. Popularization of research on IDPs and IDRs -- 4. A Collection of Recent Papers on IDPs and IDRs -- References -- Many-to-One Binding by Intrinsically Disordered Protein Regions -- 1. Introduction -- 2. Results -- 2.1. Many-to-one binding datasets -- 2.2. Many-to-one binding profiles: independent and overlapping -- 2.3 Comparing VOR (with backbone only) and RMSΔASA Values -- 2.4. Selected many-to-one case studies -- 3. Discussion -- 4. Materials and Methods -- 4.1. Dataset preparation -- 4.2. MoRF sequence similarity -- 4.3. MoRF interface similarity -- References -- Disordered Function Conjunction: On the In-Silico Function Annotation of Intrinsically Disordered Regions -- 1. Introduction -- 2. Materials and Methods -- 2.1. Data collection -- 2.2. Computational workflow -- 2.2.1. Feature-based representation of protein regions -- 2.2.2. Prediction of protein region functions -- 2.2.3. Assessment of the function prediction and clustering -- 3. Results and Discussion -- 3.1. Prediction of individual functions of IDRs -- 3.2. IDRs described in multidimensional space form function-related clusters -- 3.3. Case studies -- 4. Conclusions -- Acknowledgments -- References -- De novo Ensemble Modeling Suggests that AP2-Binding to Disordered Regions Can Increase Steric Volume of Epsin but Not Eps15 -- 1. Introduction -- 2. Methods -- 2.1. Generation of structural ensembles -- 2.2. Filtering Epsin conformers to mimic the effect of Plasma membrane. , 2.3. Docking AP2α to the IDRs by superposition.

Additional Edition: Print version: Altman, Russ B Biocomputing 2020 - Proceedings Of The Pacific Symposium Singapore : World Scientific Publishing Company,c2019 ISBN 9789811215629

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Format: 1 online resource (386 pages)

ISBN: 9789814335058

Note: Intro -- CONTENTS -- PREFACE -- INTEGRATIVE -OMICS FOR TRANSLATIONAL SCIENCE -- 1. Introduction -- 2. Session Summary -- 3. Acknowledgments -- TOWARDS INTEGRATIVE GENE PRIORITIZATION IN ALZHEIMER'S DISEASE -- 1. Introduction -- 2. Material and methods -- 3. Results -- 4. Discussion and conclusion -- 5. Acknowledgement -- References -- SYSTEMS BIOLOGY ANALYSES OF GENE EXPRESSION AND GENOME WIDEASSOCIATION STUDY DATA IN OBSTRUCTIVE SLEEP APNEA -- 1. Introduction -- 2. Material and Methods -- 3. Results and Discussion -- 4. Conclusion -- 5. Acknowledgments -- References -- FINDING MOST LIKELY HAPLOTYPES IN GENERAL PEDIGREESTHROUGH PARALLEL SEARCH WITH DYNAMIC LOAD BALANCING -- 1. Introduction -- 2. Background -- 3. Setup and Parallel Scheme -- 4. Predicting Subproblem Size Using the Cost Function -- 5. Experiments -- 6. Conclusion & -- FutureWork -- Acknowledgements -- References -- DYNAMIC, MULTI-LEVEL NETWORK MODELS OF CLINICAL TRIALS -- 1. Background -- 2. The scope and construction of a clinical trials network -- 3. Annotation of multiple network levels -- 4. Assessment of network dynamics -- 5. Network characteristics of "influential" trials -- 6. Discussion -- Acknowledgments -- References -- MINING FUNCTIONALLY RELEVANT GENE SETS FOR ANALYZINGPHYSIOLOGICALLY NOVEL CLINICAL EXPRESSION DATA -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Discussion -- References -- GENOTYPE PHENOTYPE MAPPING IN RNA VIRUSES - DISJUNCTIVENORMAL FORM LEARNING -- 1. INTRODUCTION -- 2. Related computational work -- 3. Disjunctive Normal Form (DNF) learning algorithms -- 4. RESULTS -- 5. CONCLUSIONS -- 6. ACKNOWLEDGEMENTS -- References -- GENOME-WIDE ASSOCIATION MAPPING AND RARE ALLELES: FROMPOPULATION GENOMICS TO PERSONALIZED MEDICINE -- References. , AN APPLICATION AND EMPIRICAL COMPARISON OF STATISTICAL ANALYSISMETHODS FOR ASSOCIATING RARE VARIANTS TO A COMPLEX PHENOTYPE -- 1. Introduction -- 2. Sequencing the MGLL and FAAH genes in obese and control individuals -- 3. Statistical methods for rare variant associations -- 4. Results -- 5. Conclusions and Future Directions -- Acknowledgments -- References -- 2. Sequencing the MGLL and FAAH genes in obese and control individuals -- 3. Statistical methods for rare variant associations -- 4. Results -- 5. Conclusions and Future Directions -- Acknowledgments -- References -- HAPLOTYPE PHASING BY MULTI-ASSEMBLY OF SHAREDHAPLOTYPES: PHASE-DEPENDENT INTERACTIONS BETWEEN RARE VARIANTS -- 1. Introduction -- 2. Multi-Assembly of Shared Haplotypes -- 3. Algorithmic Strategies -- 4. Results on Simulated Data -- 5. Acknowledgments -- References -- AN EVALUATION OF POWER TO DETECT LOW-FREQUENCY VARIANTASSOCIATIONS USING ALLELE-MATCHING TESTS THAT ACCOUNTFOR UNCERTAINTY -- 1. Introduction -- 2. Allele-Matching Tests -- 3. Simulation Study -- 4. Discussion -- References -- PENALIZED REGRESSION FOR GENOME-WIDE ASSOCIATIONSCREENING OF SEQUENCE DATA -- 1. Introduction -- 2. Methods -- 3. Analysis of Simulated Data -- 4. Software Implementation and Illustration of Real Data -- 5. Discussion -- Acknowledgments -- References -- MICROBIOME STUDIES: PSB 2011 SPECIAL SESSION INTRODUCTION -- 1. Introduction to Microbiome Studies -- 2. Papers in this session -- ESTIMATING THE NUMBER OF SPECIES WITH CATCHALL -- 1. Introduction -- 2. Analysis of a microbial diversity dataset -- 3. Conclusions and future directions -- Acknowledgments -- References -- A FRAMEWORK FOR ANALYSIS OF METAGENOMIC SEQUENCING DATA -- 1. Background -- 2. Framework -- 3. Workflow -- 4. Discussion and Future Work -- 5. Conclusion -- Acknowledgements -- References. , VISUALIZATION AND STATISTICAL COMPARISONS OF MICROBIALCOMMUNITIES USING R PACKAGES ON PHYLOCHIP DATA -- 1. Introduction -- 2. Details of the Data Analysis Procedures -- 3. Batch E ect Detection using projections on Principal Planes -- 4. Incorporating and adjusting the phylogenetic information -- 5. Summary -- Acknowledgments -- References -- HUMAN MICROBIOME VISUALIZATION USING 3D TECHNOLOGY -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Discussion -- 5. Acknowledgments -- References -- COMPARING BACTERIAL COMMUNITIES INFERRED FROM 16S rRNA GENE SEQUENCING AND SHOTGUN METAGENOMICS -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Discussion -- 5. Availability -- 6. Acknowledgments -- References -- MULTI-SCALE MODELLING OF BIOSYSTEMS: FROM MOLECULAR TOMESOCALE -- 1. Background -- 2. Session Summary -- 3. Acknowledgements -- COMPUTATIONAL GENERATION INHIBITOR-BOUND CONFORMERS OF P38 MAPKINASE AND COMPARISON WITH EXPERIMENTS -- 1. Introduction -- 2. Materials and Methods -- 3. Results and Discussion -- 4. Conclusion -- Acknowledgements -- References -- MOLECULAR DYNAMICS SIMULATIONS OF THE FULL TRIPLE HELICALREGION OF COLLAGEN TYPE I PROVIDE AN ATOMIC SCALE VIEW OF THEPROTEIN'S REGIONAL HETEROGENEITY -- 1. Introduction -- 2. Materials and Methods -- 3. Results -- 4. Discussion -- 5. Acknowledgments -- References -- STRUCTURAL INSIGHTS INTO PRE-TRANSLOCATION RIBOSOME MOTIONS -- 1. Introduction -- 2. Background -- 3. Method -- 4. Results -- 5. Discussion -- Acknowledgements and availability -- References -- NEW CONFORMATIONAL SEARCH METHOD USING GENETICALGORITHM AND KNOT THEORY FOR PROTEINS -- 1. Introduction -- 2. Method -- 3. Results and Discussion -- 4. Conclusions -- Acknowledgments -- References -- PERSONAL GENOMICS -- 1. Introduction -- 2. Session Summary -- 3. Acknowledgments. , THE REFERENCE HUMAN GENOME DEMONSTRATES HIGH RISK OF TYPE 1DIABETES AND OTHER DISORDERS -- 1. Introduction -- 2. Methods -- 3. Results: -- 4. Discussion -- 5. Acknowledgements -- References -- MATCHING CANCER GENOMES TO ESTABLISHED CELL LINESFOR PERSONALIZED ONCOLOGY -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Discussion -- Acknowledgements -- References -- USE OF BIOLOGICAL KNOWLEDGE TO INFORM THE ANALYSIS OF GENE-GENEINTERACTIONS INVOLVED IN MODULATING VIROLOGIC FAILURE WITHEFAVIRENZ-CONTAINING TREATMENT REGIMENS IN ART-NAÏVE ACTG CLINICALTRIALS PARTICIPANTS -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Discussion -- 5. Acknowledgements -- References -- VISUAL INTEGRATION OF RESULTS FROM A LARGE DNA BIOBANK (BIOVU)USING SYNTHESIS-VIEW -- 1. Introduction -- 2. Methods -- 3. Visualization of Results -- 4. Conclusions -- 5. Acknowledgments -- 6. References -- MULTIVARIATE ANALYSIS OF REGULATORY SNPS: EMPOWERING PERSONALGENOMICS BY CONSIDERING CIS-EPISTASIS AND HETEROGENEITY -- 1. Introduction -- 2. Methods -- 3. Results -- 4. Discussion -- References -- HAPLOTYPE INFERENCE FROM SHORT SEQUENCE READS USING APOPULATION GENEALOGICAL HISTORY MODEL -- 1. Introduction -- 2. Background -- 3. Haplotyping with Short Reads -- 4. Results -- Funding and Acknowledgment -- References -- REVERSE ENGINEERING AND SYNTHESIS OF BIOMOLECULAR SYSTEMS -- 1. Introduction -- 2. Session Papers -- Acknowledgments -- References -- BINARY COUNTING WITH CHEMICAL REACTIONS -- 1. Introduction -- 2. Counting in Binary -- 3. Synchronization -- 4. Simulation results -- 5. Discussion -- References -- DEFINING THE PLAYERS IN HIGHER-ORDER NETWORKS: PREDICTIVE MODELINGFOR REVERSE ENGINEERING FUNCTIONAL INFLUENCE NETWORKS -- 1. Introduction -- 2. Methods -- 3. Results and Discussion -- 4. Conclusions -- 5. Acknowledgements -- 6. References. , RATE-INDEPENDENT CONSTRUCTS FOR CHEMICAL COMPUTATION -- 1. Introduction -- 2. Chemical Model -- 3. Computational Constructs -- 4. A Multiplier -- 5. Simulation Results -- 6. Discussion -- References -- TOWARDS REAL-TIME CONTROL OF GENE EXPRESSION:CONTROLLING THE HOG SIGNALING CASCADE -- 1. Introduction -- 2. A platform for real-time control of gene expression -- 3. Controlling transcription factor nuclear localization using a simplecontrol approach -- 4. Design of an improved control approach -- 5. Discussion -- References -- IDENTIFYING TARGETS FOR INTERVENTION BY ANALYZING BASINSOF ATTRACTION -- 1. Introduction -- 2. Background -- 3. Methods -- 4. Results -- 5. Conclusion and Future Work -- Supplementary Material -- Acknowledgement -- References -- MINING THE PHARMACOGENOMICS LITERATURE -- Abstract: -- Goals of the workshop: -- IDENTIFICATION OF ABERRANT PATHWAY AND NETWORKACTIVITY FROM HIGH-THROUGHPUT DATA -- 1. Introduction -- 2. Pathways in Human Disease -- 3. High-Throughput Data -- 4. Analysis Approaches and Tools -- 5. Conclusion -- References -- WORKSHOP ON THE VALIDATION AND MODELING OF ELECTRON CRYOMICROSCOPYSTRUCTURES OF BIOLOGICAL NANOMACHINES -- 1. Electron Cryo-microscopy -- 2. Challenges of CryoEM Map Interpretation -- 3. The CryoEM Modeling Challenge 2010 -- 4. Available Modeling Techniques -- 5. Conclusions -- 6. Acknowledgements -- References.

Additional Edition: Print version: Altman, Russ B Biocomputing 2011 - Proceedings Of The Pacific Symposium Singapore : World Scientific Publishing Company,c2010 ISBN 9789814335041

Language: English

Keywords: Electronic books. ; Electronic books.

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Format: 1 online resource (436 pages)

ISBN: 9789814583220

Note: Intro -- 0psb-preface-14-rba.pdf -- 1cp-all -- 0cp-intro-rev.pdf -- aguiar-rev -- badea -- 1.   Introduction and motivation -- 2.   Data and preprocessing -- 2.1.   The TCGA AML dataset -- 2.2.   Generalized mutations -- 2.3.   Protein-to-protein interaction data -- 3.   Proteins mutated in AML form pp interaction cliques -- 4.   Joint analysis of gene expression data and mutations using pp interaction data -- 4.1.   The joint clustering of expression and mutation interactor data -- 4.2.   The dimensionality of the factorization -- 4.3.   Significant sample-specific mutations -- 5.   Conclusions -- 6.   Acknowledgments -- chaibubneto (1) -- gitter-rev -- hu -- mayba -- min-rev -- morgan -- 2cad-all -- 0intro-cdr-rev -- blucher -- brubaker -- ng -- yang -- yera-rev -- zhu -- 3pleiotropy-all -- 0Pleiotropy_Proceedings_Introduction.pdf -- darabos-rev -- hall -- philip -- 4pm-all -- 0pm-intro-rev -- daneshjou -- martin -- parikh -- patwardhan-rev -- 1. Introduction -- 2. Methods -- 2.1. Subject Samples -- 2.2. Genomic Library Construction, Exome Sequencing, Alignment and Variant Calling -- 2.3. Problematic Regions of the Genome -- 2.4. Case Control Analysis -- 3. Results -- 4. Discussion -- 5text-all -- 0intro-text -- clark -- funk -- han -- komandurelayavilli -- liu (1) -- malinowski (2) -- vembu-rev -- zitnik (1) -- 1NoncodingRNA_workshop_PSB2014.pdf -- 2training -- Untitled.

Additional Edition: Print version: Altman, Russ B Pacific Symposium On Biocomputing 2014 Singapore : World Scientific Publishing Company,c2013 ISBN 9789814596343

Language: English

Keywords: Electronic books. ; Electronic books.

URL: Click to View

URL: Click here to view book