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  • 1
    Online Resource
    Online Resource
    Biomedical Information Extraction : Mining Disease Associated Genes from Literature (2014)
    Details
    UID:
    (DE-627)858878399
    Format: 1 Online-Ressource
    Content: Disease associated gene discovery is a critical step to realize the future of personalized medicine. However empirical and clinical validation of disease associated genes are time consuming and expensive. In silico discovery of disease associated genes from literature is therefore becoming the first essential step for biomarker discovery to support hypothesis formulation and decision making. Completion of human genome project and advent of high-throughput technology have produced tremendous amount of data, which results in exponential growing of biomedical knowledge deposited in literature database. The sheer quantity of unexplored information causes information overflow for biomedical researchers, and poses big challenge for informatics researchers to address user's information extraction needs. This thesis focused on mining disease associated genes from PubMed literature database using machine learning and graph theory based information extraction (IE) methods. Mining disease associated genes is not trivial and requires pipelines of information extraction steps and methods. Beginning from named entity recognition (NER), the author introduced semantic concept type into feature space for conditional random fields machine learning and demonstrated the effectiveness of the concept feature for disease NER. The effects of domain specific POS tagging, domain specific dictionaries, and named entity encoding scheme on NER performance were also explored. Experimental results show that by combining knowledge base with concept feature space, it can significantly improve the overall disease NER performance. It has also shown that shallow linguistic features of global and local word sequence context can be used with string kernel based supporting vector machine (SVM) for efficient disease-gene relation extraction. Lastly, the disease-associated gene network was constructed by utilizing concept co-occurrence matrix computed from disease focused document collection, and subjected to systematic topology analysis. The gene network was then merged with a seed-gene expanded network to form heterogeneous disease-gene network. The author identified and prioritized disease-associated genes by graph centrality measurements. This novel approach provides a new mean for disease associated gene extraction from large corpora.
    Note: Dissertation 2014
    Language: English
    Keywords: Hochschulschrift
    URL: Volltext  (kostenfrei)
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    Fulltext
    GBV
  • 2
    Book
    Book
    Woguo-jindai-jiaoyu-de-fazhan (1980)
    Taibei : Taiwan Shangwu Yinshuguan
    Details
    UID:
    (DE-604)BV013543544
    Format: 217 S.
    Note: In chines. Schr.
    Language: Chinese
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    Book
    BVB
  • 3
    Book
    Book
    Hai yu (57)
    Tai bei : Yi wen yin shu guan
    Details
    UID:
    (DE-603)473738198
    Format: 5, 9, 7, 2 S.
    Edition: Chu ban
    Original writing edition: 初版
    Original writing title: 海語
    Original writing person/organisation: 黄衷
    Original writing publisher: 臺北 : 藝文印書館
    Series Statement: Bai bu cong shu ji cheng / Yan Yi ping ji. 93, Ling nan yi shu [3,8]
    Language: Chinese
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    Book
    HeBIS
  • 4
    Book
    Book
    huang xue pu ji (2000)
    bei jing
    Details
    UID:
    (DE-602)gbv_103327061X
    Format: 477-634 S.
    Edition: 据清康熙泳古堂刻本影印
    Original writing title: 黄雪瀑集 不分卷
    Original writing person/organisation: 黄中
    Original writing publisher: 北京 : 北京出版社
    ISBN: 7200034711
    Series Statement: si ku wei shou shu ji kan : ji bu = si ku wei shou shu ji kan : ji bu : bie ji lei 23
    Note: SBB-PK Berlin
    Language: Chinese
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  • 5
    Book
    Book
    hai yu (2003)
    shang hai
    Details
    UID:
    (DE-602)gbv_1033358207
    Format: 117-136 S.
    Edition: 影印本, 新1版
    Original writing title: 海语 三卷
    Original writing person/organisation: 黃衷
    Original writing publisher: 上海 : 上海古籍出版社
    ISBN: 753253300X
    Series Statement: wen yuan ge si ku quan shu : shi bu = wen yuan ge si ku quan shu : shi bu : di li lei 594
    Note: SBB-PK Berlin
    Language: Chinese
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  • 6
    Book
    Book
    Spectral theory for non-quasianalytic representations of locally compact Abelian groups (1996)
    Details
    UID:
    (DE-101)947865659
    Format: IV, 218 S. , 21 cm
    Note: Tübingen, Univ., Diss., 1996 (Nur beschränkt für den Austausch)
    Language: German
    Keywords: Lokal kompakte Abelsche Gruppe ; Darstellung ; Banach-Raum ; Spektraltheorie ; Hochschulschrift
    URL: Inhaltsverzeichnis
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    Book
    DNB
  • 7
    Book
    Book
    huang xue pu ji (2000)
    bei jing
    Details
    UID:
    (DE-627)103327061X
    Format: 477-634 S.
    Edition: 据清康熙泳古堂刻本影印
    Original writing title: 黄雪瀑集 不分卷
    Original writing person/organisation: 黄中
    Original writing publisher: 北京 : 北京出版社
    ISBN: 7200034711
    Series Statement: si ku wei shou shu ji kan : ji bu = si ku wei shou shu ji kan : ji bu : bie ji lei 23
    Note: SBB-PK Berlin
    Language: Chinese
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    GBV
  • 8
    Book
    Book
    hai yu (1968)
    ban qiao
    Details
    UID:
    (DE-627)1034532731
    Original writing title: 海語
    Original writing person/organisation: 黃衷
    Original writing publisher: 板橋, 臺北 : 藝文印書館
    Series Statement: ling nan yi shu 3,8,[12]
    Note: SBB-PK Berlin
    Language: Chinese
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    GBV
  • 9
    Book
    Book
    de huang zuo zhan ji hua shu (1939)
    kun ming
    Details
    UID:
    (DE-627)1033429503
    Format: 8, 96 S.
    Edition: 五版
    Original writing title: 德皇作战计画书
    Original writing person/organisation: 黄中
    Original writing publisher: 昆明 : 中华书局
    Series Statement: min guo ji cui
    Note: SBB-PK Berlin
    Language: Chinese
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    GBV
  • 10
    Online Resource
    Online Resource
    hai yu
    Details
    UID:
    (DE-627)1061823725
    Format: Online-Ressource
    Edition: 民国景明寳颜堂秘籍本
    Original writing title: 海语3卷
    Original writing title: 海語3卷
    Original writing person/organisation: 黄衷
    Original writing person/organisation: 黄衷
    Note: 中国基本古籍库 (电子书数据库)
    Language: Chinese
    URL: Volltext
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    Online Resource
    Online Access
    Stabi Berlin
    GBV
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