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  • 1
    UID:
    almafu_BV006208729
    Umfang: 230 S.
    Serie: Veröffentlichungen der Berliner Historischen Kommission beim Friedrich-Meinecke-Institut der Freien Universität Berlin 1
    Sprache: Deutsch
    Fachgebiete: Geschichte , Wirtschaftswissenschaften , Rechtswissenschaft
    RVK:
    RVK:
    RVK:
    Schlagwort(e): Gemeindewirtschaft
    Mehr zum Autor: Büsch, Otto 1928-1994
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    UID:
    almafu_BV043369417
    Umfang: 168 Seiten : , Illustrationen.
    ISBN: 978-3-7861-2760-4 , 3-7861-2760-3
    Originaltitel: Integrated pest management in cultural heritage 2015
    Sprache: Deutsch
    Fachgebiete: Biologie , Allgemeines
    RVK:
    RVK:
    RVK:
    Schlagwort(e): Museum ; Archiv ; Baudenkmal ; Schädlingsbekämpfung ; Museum ; Insektenbekämpfung ; Ratgeber ; Lehrbuch
    Mehr zum Autor: Pinniger, David 1943-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    Online-Ressource
    Online-Ressource
    Cham :Springer International Publishing AG,
    UID:
    almahu_9949602154002882
    Umfang: 1 online resource (667 pages)
    Ausgabe: 1st ed.
    ISBN: 9783319471433
    Anmerkung: Intro -- Preface -- Maternal and Child Health, Life Course Health Development, and the Life Course Research Network -- References -- Acknowledgments -- Contents -- Contributors -- Introduction to the Handbook of Life Course Health Development -- 1 Introduction -- 2 Rationale -- 2.1 The Emergence of a New Field -- 2.2 The Maturation of the LCHD Field -- 3 The Purpose, Structure, and Content of This Volume -- 3.1 Section I: Emerging Frameworks -- 3.2 Section II: Life Stages -- 3.3 Section III: The Life Course Origins and Consequences of Specific Diseases and Health Conditions -- 3.4 Section IV: Cross-Cutting Topics in Life Course Health Development -- 3.5 Section V: Methodological Approaches -- 3.6 Section VI: Conclusions -- References -- Part I: Emerging Frameworks -- The Emerging Theoretical Framework of Life Course Health Development -- 1 Part 1: Context and Background -- 2 Part 2: Emergence of the Life Course Health Development Framework -- 3 Part 3: Principles of the Life Course Health Development Framework -- 4 Principle 1: Health Development -- 4.1 What We Mean by "Health Development" -- 4.2 Theories and Frameworks Relevant to Health Development -- 4.3 Implications of the Health Development Principle -- 5 Principle 2: Unfolding -- 5.1 What We Mean by "Unfolding" -- 5.2 Theories and Frameworks Relevant to Unfolding -- 5.3 Implications of the Unfolding Principle -- 6 Principle 3: Complexity -- 6.1 What We Mean by "Complexity" -- 6.2 Theories and Frameworks Relevant to Complexity -- 6.3 Implications of the Complexity Principle -- 7 Principle 4: Timing -- 7.1 What We Mean by "Timing" -- 7.2 Theories and Frameworks Relevant to Timing -- 7.3 Implications of the Timing Principle -- 8 Principle 5: Plasticity -- 8.1 What We Mean by "Plasticity" -- 8.2 Theories and Frameworks Relevant to Plasticity. , 8.3 Implications of the Plasticity Principle -- 9 Principle 6: Thriving -- 9.1 What We Mean by "Thriving" -- 9.2 Theories and Frameworks Relevant to Thriving -- 9.3 Implications of the Thriving Principle -- 10 Principle 7: Harmony -- 10.1 What We Mean by "Harmony" -- 10.2 Theories and Frameworks Relevant to Harmony -- 10.3 Implication of the Harmony Principle -- 11 Summary -- References -- Part II: Life Stages -- Preconception and Prenatal Factors and Metabolic Risk -- 1 Introduction -- 2 The Effects of Maternal Preconceptional Obesity and/or Diabetes and Micronutrient Status on Offspring Metabolic Outcomes -- 2.1 Maternal Prepregnancy Obesity and Gestational Weight Gain -- 2.2 Preexistent and Gestational Diabetes -- 2.3 Maternal Micronutrient Status -- 2.4 Adverse Birth Outcomes -- 3 Mechanisms/Pathways Underlying Early Life Origins of Metabolic Risk -- 3.1 Genetics -- 3.2 Intrauterine Environment -- 3.3 Gene and Environment Interaction and Epigenetics -- 4 Preconception and Prenatal Care -- 5 Recommendations for Future Study and Perspectives -- 5.1 Major Themes and Findings -- 5.2 Research Priorities -- 5.2.1 Epidemiologic research -- 5.2.2 Mechanism research -- 5.2.3 Translational research -- 5.3 Data and Methods Development Priorities -- 6 Conclusions -- 7 Source of Funding -- References -- Early Childhood Health and the Life Course: The State of the Science and Proposed Research Priorities -- 1 Introduction: What's So Special About the Early Years? -- 2 Susceptibility and Continuity: The Echoes of Childhood -- 3 Constitution, Context, and the Nonrandom Distribution of Morbidity -- 4 Six Domains of Early Developmental Research -- 4.1 Social Stratification, Poverty, and Subordination -- 4.2 Vulnerability, Resilience, and Neurobiological Susceptibility -- 4.3 The Topography of Vulnerability. , 4.4 Marginalization and Scapegoating -- 4.5 History and Affliction -- 4.6 Critical Periodicity -- 5 Interactions Between Context and Constitution: The Biological Embedding of Early Adversity -- 5.1 Chromatin Modification and the Molecular Biology of Epigenesis -- 5.2 The Epigenetics of Social Adversity -- 5.3 Gene-Environment Interplay in Brain Development -- 6 Summary: What We Know and What We Don't -- 7 An Agenda for Future Research -- References -- Middle Childhood: An Evolutionary-Developmental Synthesis -- 1 What Is Middle Childhood? -- 1.1 Adrenarche -- 2 The Transition to Middle Childhood as a Developmental Switch Point -- 2.1 A Switch Point in Life History Development -- 3 Three Insights in the Nature of Middle Childhood -- 3.1 Insight 1: Social Integration and Social Competition Are Complementary Functions of Middle Childhood -- 3.2 Insight 2: Sexual Selection Contributes to the Emergence and Intensification of Sex Differences in Middle Childhood -- 3.3 Insight 3: In Middle Childhood, Heightened Sensitivity to the Environment Goes Hand in Hand with the Expression of New Genetic Factors -- 4 Implications for Health Development -- 5 Conclusions -- References -- Adolescent Health Development: A Relational Developmental Systems Perspective -- 1 Viewing Adolescent Development Through the Lens of the Relational Developmental Systems Metatheory -- 2 Three Moments of Analysis in an RDS Approach to Adolescent Health Development -- 3 Developmental Regulations, Adaptive Developmental Regulations, and Human Agency in RDS Metatheory -- 4 Implications for Research About Adolescent Health Development -- 5 Conclusions -- References -- Emerging Adulthood as a Critical Stage in the Life Course -- 1 Introduction to Emerging Adulthood -- 2 Conceptual Framework -- 3 Macro-level Influences on the Trajectory of Emerging Adulthood. , 4 Meso-level Influences of Life Trajectories During Emerging Adulthood -- 4.1 Earlier Parent-Child Relationships -- 4.2 Childhood Socioeconomic Status -- 5 Microlevel Influences on the Trajectories During Emerging Adulthood -- 5.1 Cognitive Development -- 5.2 Identity Formation -- 5.3 Resilience in Emerging Adulthood -- 6 Trajectories During Emerging Adulthood for Emerging Adults with Chronic Health Condition -- 6.1 Autism Spectrum Disorders (ASDs) -- 6.2 Type 1 Diabetes Mellitus (DM) -- 6.3 Chronic Kidney Disease -- 6.4 Mental Health and Substance Use -- 7 Protective and Risk Factors That Impact Emerging Adulthood -- 8 Services and Supports -- 9 Recommendations for Research Priorities -- References -- Pregnancy Characteristics and Women's Cardiovascular Health -- 1 Introduction -- 2 Associations of Parity and Pregnancy Complications with CVD Risk in Mothers -- 2.1 Parity and CVD -- 2.2 Common Pregnancy Complications and CVD in Mothers -- 2.3 Recurrent Pregnancy Complications, Last Pregnancy Complications, and Maternal CVD Risk -- 3 Physiological Mechanisms Linking Pregnancy Complications to Maternal CVD Risk -- 3.1 Cardiovascular Risk Factors Preceding Pregnancy Complications -- 3.2 Cardiovascular Risk Factors During Pregnancy -- 3.2.1 Cardiovascular Adaptation in Normal Pregnancy -- 3.2.2 Cardiovascular Risk Factors During Pregnancy Complications -- 3.3 Cardiovascular Risk Factors After Pregnancy -- 3.3.1 Enduring Cardiovascular Impact of Normal Pregnancy -- 3.3.2 Cardiovascular Risk After Pregnancy Complications -- 4 Recommendations for Future Research -- 4.1 Major Themes and Findings -- 4.2 Research Priorities -- 4.3 Data and Methods Development Priorities -- 4.4 Translational Priorities -- 5 Conclusions -- References. , Part III: The Life Course Origins and Consequences of Select Major Health Conditions and Issues -- Early in the Life Course: Time for Obesity Prevention -- 1 Introduction -- 2 Conceptual Framework -- 3 Measurement of Overweight and Obesity -- 4 Prenatal Period -- 4.1 Birth Weight -- 4.2 Maternal Prepregnancy Obesity -- 4.3 Gestational Diabetes Mellitus (GDM) -- 4.4 Gestational Weight Gain (GWG) -- 4.5 Maternal Smoking During Pregnancy -- 4.6 Hormonal Influences: Leptin -- 5 Infancy -- 5.1 Rapid Weight Gain -- 5.2 Breastfeeding -- 5.3 Disparities in Obesity Partially Explained by Early-Life Factors -- 6 Early to Mid-childhood -- 6.1 Family -- 6.2 Diet, Physical Activity, and Inactivity -- 6.3 Food Insecurity -- 6.4 Child Care and School -- 7 Adolescence -- 7.1 Social Influences -- 8 Macro-level Factors -- 8.1 Environment -- 8.2 Local and State -- 8.3 National -- 9 Recommendations -- 9.1 Major Themes -- 9.2 Research Priorities -- 9.3 Data/Methods Development Priorities -- 9.4 Translational Priorities -- References -- Pediatric Type 2 Diabetes: Prevention and Treatment Through a Life Course Health Development Framework -- 1 Introduction -- 2 The Backdrop -- 2.1 Genetics -- 2.2 Prevalence and Incidence of T2DM Related to Age, Race, and Ethnicity -- 2.3 Economic Status -- 2.4 Social (Psychological) Stressors -- 2.5 Summary -- 3 Preconception and Intrauterine Life -- 3.1 Maternal Nutrition: Prior to and During Pregnancy -- 3.1.1 Maternal Under Nutrition -- 3.1.2 Maternal Overnutrition -- 3.2 Maternal Stress -- 3.3 Maternal Hypoxia/Placental Insufficiency -- 3.4 Environmental Exposures -- 3.5 Microbiome -- 3.6 Gestational Diabetes (GDM) -- 3.7 Summary -- 4 Infancy -- 4.1 Feeding -- 4.2 Infant Growth Patterns -- 4.3 Sleep Duration -- 4.4 Parenting and Postpartum Depression -- 4.5 Summary -- 5 Childhood. , 5.1 Childhood Overweight and Obesity.
    Weitere Ausg.: Print version: Halfon, Neal Handbook of Life Course Health Development Cham : Springer International Publishing AG,c2017 ISBN 9783319471419
    Sprache: Englisch
    Fachgebiete: Wirtschaftswissenschaften
    RVK:
    Schlagwort(e): Electronic books. ; Aufsatzsammlung ; Electronic books
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Full-text  ((OIS Credentials Required))
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  • 4
    UID:
    b3kat_BV046062880
    Umfang: 1 Online-Ressource (xxii, 426 Seiten) , 160 Illustrationen, 79 Illustrationen (farbig)
    ISBN: 9783030134990
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-13498-3
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Softwareentwicklung ; Informationssystem ; Aufsatzsammlung ; Electronic books
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: Full-text  ((OIS Credentials Required))
    Mehr zum Autor: Reussner, Ralf
    Mehr zum Autor: Goedicke, Michael
    Mehr zum Autor: Märtin, Lukas
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 5
  • 6
    Buch
    Buch
    Zürich :Sanssouci-Verlag,
    UID:
    almahu_BV012075198
    Umfang: 116 Seiten : , Illustrationen, Notenbeispiele.
    Serie: Reihe "Europäisches Cabaret"
    Sprache: Deutsch
    Fachgebiete: Germanistik
    RVK:
    RVK:
    Schlagwort(e): Deutsch ; Chanson ; Anthologie ; Anthologie ; Anthologie ; Anthologie ; Anthologie
    Mehr zum Autor: Greul, Heinz, 1926-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 7
    Online-Ressource
    Online-Ressource
    World Scientific Publishing Co. | Singapore :World Scientific Publishing Company,
    UID:
    almafu_9959151868702883
    Umfang: 1 online resource (471 pages)
    ISBN: 981-327-982-6 , 981-327-981-8
    Inhalt: The Pacific Symposium on Biocomputing (PSB) 2019 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2019 will be held on January 3 – 7, 2019 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2019 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
    Anmerkung: Intro -- Preface -- PATTERN RECOGNITION IN BIOMEDICAL DATA: CHALLENGES IN PUTTING BIG DATA TO WORK -- Session introduction -- Introduction -- References -- Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes -- 1. Introduction -- 2. Methods -- 2.1. Source Code -- 2.2. Data Source -- 2.3. Data Selection and Preprocessing -- 2.3.1. Reference ICD9 Example -- 2.3.2. Real Member Analyses -- 2.4. Poincaré Embeddings -- 2.5. Processing and Evaluating Embeddings -- 3. Results -- 3.1. ICD9 Hierarchy Evaluation -- 3.2. Poincaré Embeddings on 10 Million Members -- 3.3. Comparison with Euclidean Embeddings -- 3.4. Cohort Specific Embeddings -- 4. Discussion and Conclusion -- 5. Acknowledgments -- References -- The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data -- 1. Introduction -- 2. Background -- 2.1. Multitask nets -- 3. Methods -- 3.1. Dataset Construction and Design -- 3.2. Experimental Design -- 4. Experiments and Results -- 4.1. When Does Multitask Learning Improve Performance? -- 4.2. Relationship Between Performance and Number of Tasks -- 4.3. Comparison with Logistic Regression Baseline -- 4.4. Interaction between Phenotype Prevalence and Complexity -- 5. Limitations -- 6. Conclusion -- Acknowledgments -- References -- ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites -- 1. Introduction -- 1.1. Integrate evidence from multiple clinical sites -- 1.2. Distributed Computing -- 2. Material and Method -- 2.1. Clinical Cohort and Motivating Problem -- 2.2. Algorithm -- 2.3. Simulation Design -- 3. Results -- 3.1. Simulation Results -- 3.2. Fetal Loss Prediction via ODAL -- 4. Discussion -- References. , PVC Detection Using a Convolutional Autoencoder and Random Forest Classifier -- 1. Introduction -- 2. Methods -- 2.1. Data Set and Implementation -- 2.2. Proposed PVC Detection Method -- 2.2.1. Feature Extraction -- 2.2.2. Classification -- 3. Results -- 3.1. Full Database Evaluation -- 3.2. Timing Disturbance Evaluation -- 3.3. Cross-Patient Training Evaluation -- 3.4. Estimated Parameters and Convergence -- 4. Discussion -- References -- Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications -- 1. Introduction -- 2. Related Work -- 3. Confounder Filtering (CF) Method -- 3.1. Overview -- 3.2. Method -- 3.3. Availability -- 4. Experiments -- 4.1. lung adenocarcinoma prediction -- 4.1.1. Data -- 4.1.2. Results -- 4.2. Segmentation on right ventricle(RV) of Heart -- 4.2.1. Data -- 4.2.2. Results -- 4.3. Students' confusion status prediction -- 4.3.1. Data -- 4.3.2. Results -- 4.4. Brain tumor prediction -- 4.4.1. Data -- 4.4.2. Results -- 4.5. Analyses of the method behaviors -- 5. Conclusion -- 6. Acknowledgement -- References -- DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM -- 1. Introduction -- 2. METHODS -- 2.1 Data Set Preparation -- 2.2 Input Encoding -- 2.3 Model Architecture -- 2.4 Evaluation criteria -- 3. RESULTS AND DISCUSSION -- 3.1 Parameter configuration experiments on test data -- 3.2 Comparison with Other Domain Boundary Predictors -- 3.2.1 Free modeling targets from CASP 9 -- 3.2.2 Multi-domain targets from CASP 9 -- 3.2.3 Discontinuous domain target from CASP 8 -- 4. CONCLUSION -- 5. ACKNOWLEDGEMENTS -- REFERENCES -- Res2s2aM: Deep residual network-based model for identifying functional noncoding SNPs in trait-associated regions -- 1. Introduction -- 2. Background theory. , 3. Dataset for training and testing -- 3.1. Source databases -- 3.2. Dataset generation -- 4. Methods -- 4.1. ResNet architecture in our model -- 4.2. Tandem inputs of forward- and reverse-strand sequences -- 4.3. Biallelic high-level network structure -- 4.4. Incorporating HaploReg SNP annotation features -- 4.5. Training of models -- 5. Results -- 6. Conclusions and discussion -- Acknowledgements -- References -- DNA Steganalysis Using Deep Recurrent Neural Networks -- 1. Introduction -- 2. Background -- 2.1. Notations -- 2.2. Hiding Messages -- 2.3. Determination of Message-Hiding Regions -- 3. Methods -- 3.1. Proposed DNA Steganalysis Principle -- 3.2. Proposed Steganalysis RNN Model -- 4. Results -- 4.1. Dataset -- 4.2. Input Representation -- 4.3. Model Training -- 4.4. Evaluation Procedure -- 4.5. Performance Comparison -- 5. Discussion -- Acknowledgments -- References -- Bi-directional Recurrent Neural Network Models for Geographic Location Extraction in Biomedical Literature -- 1. Introduction -- 2. Related Work -- 3. Methods -- 3.1. Toponym Detection -- 3.1.1. Recurrent Neural Networks -- 3.1.2. LSTM -- 3.1.3. Other Gated RNN Architectures -- 3.1.4. Hyperparameter search and optimization -- 3.2. Toponym Disambiguation -- 3.2.1. Building Geonames Index -- 3.2.2. Searching Geonames Index -- 4. Results and Discussion -- 4.1. Toponym Disambiguation -- 4.2. Toponym Resolution -- 5. Limitations and Future Work -- 6. Conclusion -- Acknowledgments -- Funding -- References -- Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning -- 1. Introduction -- 2. Related Work -- 3. Method -- 3.1. Model Framework -- 3.2. Deep Reinforcement Learning for Organizing Actions -- 3.3. Preprocessing and Name Entity Recognition with UMLS -- 3.4. Bidirectional LSTM for Relation Classification. , 3.5. Algorithm -- 3.6. Implementation Specification -- 4. Experiments -- 4.1. Data -- 4.2. Evaluation -- 4.3. Results -- 4.3.1. Improved Reliability -- 4.3.2. Robustness in Real-world Situations -- 4.3.3. Number of Articles Read -- 5. Conclusions and Future Work -- 6. Acknowledgement -- References -- Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies -- 1. Introduction -- 2. Methods -- 2.1. Performance measures: definitions and estimation -- 2.2. Positive-unlabeled setting -- 2.3. Performance measure correction -- 3. Experiments and Results -- 3.1. A case study -- 3.2. Data sets -- 3.3. Experimental protocols -- 3.4. Results -- 4. Conclusions -- Acknowledgements -- References -- PLATYPUS: A Multiple-View Learning Predictive Framework for Cancer Drug Sensitivity Prediction -- 1. Introduction -- 2. System and methods -- 2.1. Data -- 2.2. Single views and co-training -- 2.3. Maximizing agreement across views through label assignment -- 3. Results -- 3.1. Preliminary experiments to optimize PLATYPUS performance -- 3.2. Predicting drug sensitivity in cell lines -- 3.3. Key features from PLATYPUS models -- 4. Conclusions -- Acknowledgments -- References -- Computational KIR copy number discovery reveals interaction between inhibitory receptor burden and survival -- 1. Introduction -- 2. Materials and Methods -- 2.1 Data collection -- 2.2 K-mer selection -- 2.3 NGS pipeline and k-mer extraction -- 2.4 Data cleaning -- 2.5 Normalization of k-mer frequencies -- 2.6 Copy number segregation and cutoff selection -- 2.7 Validation of copy number -- 2.8 Survival analysis -- 2.9 Additional immune analysis -- 3. Results and Discussions -- 3.1 Establishing unique k-mers -- 3.2 Varying coverage of KIR region by exome capture kit -- 3.3 Inference of KIR copy number -- 3.4 Population variation of the KIR region. , 3.5 KIR inhibitory gene burden correlates with survival in cervical and uterine cancer -- 5. Conclusions -- 6. Acknowledgements -- 7. Supplementary Material -- References -- Exploring microRNA Regulation of Cancer with Context-Aware Deep Cancer Classifier -- 1. Introduction -- 2. Data -- 2.1. Preprocessing -- 3. Deep Cancer Classifier -- 3.1. Training & -- testing -- 3.2. Parameter tuning -- 3.3. Feature importance -- 4. Results and Discussion -- 4.1. Model selection -- 4.2. Classifier performance -- 4.3. Comparison with other methods -- 4.4. Feature importance -- 5. Conclusion -- References -- Implementing and Evaluating A Gaussian Mixture Framework for Identifying Gene Function from TnSeq Data -- 1. Introduction -- 1.1. TnSeq Motivation and Background -- 1.2. Motivation and New Methods -- 2. Methods -- 2.1. TnSeq Experimental Data -- 2.2. Mixture framework -- 2.3. Classification methods -- 2.3.1. Novel method - EM -- 2.3.2. Current method - t-statistic -- 2.3.3. Bayesian hierarchical model -- 2.3.4. Data partitioning for the Bayesian model -- 2.4. Simulation -- 2.5. Real data -- 3. Results -- 3.1.1. Classification rate -- 3.1.2. False positive rate -- 3.1.3. Positive classification rate -- 3.1.4. Cross entropy -- 3.2. Simulation Results -- 3.3. Comparisons on real data -- 3.4. Software -- 4. Discussion -- References -- SNPs2ChIP: Latent Factors of ChIP-seq to infer functions of non-coding SNPs -- 1. Introduction -- 2. Results -- 2.1. SNPs2ChIP analysis framework overview -- 2.2. Batch normalization of heterogeneous epigenetic features -- 2.3. Latent factor discovery and their biological characterization -- 2.4. SNPs2ChIP identifies relevant functions of the non-coding genome -- 2.4.1. Genome-wide SNPs coverage of the reference datasets -- 2.4.2. Non-coding GWAS SNPs of systemic lupus erythematosus -- 2.4.3. ChIP-seq peaks for vitamin D receptors. , 2.5. Robustness Analysis in the latent factor identification. , English
    Sprache: Englisch
    Schlagwort(e): Electronic books ; Electronic books. ; Electronic books.
    URL: Full-text  ((OIS Credentials Required))
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  • 8
    Buch
    Buch
    Velber :Friedrich,
    UID:
    almafu_BV017892157
    Umfang: 36 S., [18] Bl. : , Ill. , Schallpl. (18 cm, 45 UpM)
    Serie: Reihe Theater heute 11
    Sprache: Deutsch
    Schlagwort(e): 1929-1964 Kammer, Klaus
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  • 9
    Online-Ressource
    Online-Ressource
    Cambridge :Open Book Publishers,
    UID:
    almahu_9949282119602882
    Umfang: 1 online resource (696 pages) : , color illustrations
    ISBN: 1-78374-752-8
    Inhalt: "Conservation Biology in Sub-Saharan Africa comprehensively explores the challenges and potential solutions to key conservation issues in Sub-Saharan Africa. Easy to read, this lucid and accessible textbook includes fifteen chapters that cover a full range of conservation topics, including threats to biodiversity, environmental laws, and protected areas management, as well as related topics such as sustainability, poverty, and human-wildlife conflict. This rich resource also includes a background discussion of what conservation biology is, a wide range of theoretical approaches to the subject, and concrete examples of conservation practice in specific African contexts. Strategies are outlined to protect biodiversity whilst promoting economic development in the region. Boxes covering specific themes written by scientists who live and work throughout the region are included in each chapter, together with recommended readings and suggested discussion topics. Each chapter also includes an extensive bibliography. Conservation Biology in Sub-Saharan Africa provides the most up-to-date study in the field. It is an essential resource, available on-line without charge, for undergraduate and graduate students, as well as a handy guide for professionals working to stop the rapid loss of biodiversity in Sub-Saharan Africa and elsewhere. Visit the 'Additional Resources' section to find out more about how to download individual chapters and images, upload material to the teaching platform that will be launched in the forthcoming months or join the textbook's discussion forum."--Publisher's website
    Anmerkung: Includes index. , What is Conservation Biology? Introduction to Sub-Saharan Africa What is Biodiversity? Why Should We Protect Biodiversity? The Scramble for Space Our Warming World Pollution, Overharvesting, Invasive Species, and Disease Extinction is Forever Applied Population Biology Conserving Ecosystems Preventing Extinctions Biodiversity and the Law The Importance of Protected Areas Conservation on Unprotected Lands An Agenda for the Future Appendix A. Selected Sources of Information Appendix B. Selected Environmental Organisations Appendix C. Obtaining Conservation Funding Appendix D. Environmental Calendar
    Weitere Ausg.: ISBN 1-78374-751-X
    Sprache: Englisch
    Schlagwort(e): Electronic books. ; Electronic books. ; Textbooks. ; Textbooks. ; Electronic books.
    URL: OAPEN
    URL: OAPEN
    URL: OAPEN  (Creative Commons License)
    URL: Image  (Thumbnail cover image)
    URL: Image  (Thumbnail cover image)
    URL: Volltext  (kostenfrei)
    URL: FULL  ((Currently Only Available on Campus))
    URL: Cover
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 10
    Online-Ressource
    Online-Ressource
    World Scientific Publishing Co. | Singapore :World Scientific,
    UID:
    almafu_9959151868602883
    Umfang: 1 online resource (667 pages)
    ISBN: 981-320-781-7
    Inhalt: The Pacific Symposium on Biocomputing (PSB) 2017 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2017 will be held on January 4 – 8, 2017 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2017 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.
    Anmerkung: English
    Weitere Ausg.: ISBN 981-320-780-9
    Sprache: Englisch
    Schlagwort(e): Electronic books ; Electronic books ; Electronic books.
    URL: FULL  ((OIS Credentials Required))
    URL: FULL  ((OIS Credentials Required))
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