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Volume 19 Supplement 5

Biological Ontologies and Knowledge bases workshop at IEEE BIBM 2017

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Kansas City, MO, USA14 November 2017

Conference website

Edited by Jiajie Peng and Jin Chen.

  1. The classification of cancer subtypes is of great importance to cancer disease diagnosis and therapy. Many supervised learning approaches have been applied to cancer subtype classification in the past few year...

    Authors: Yang Guo, Shuhui Liu, Zhanhuai Li and Xuequn Shang
    Citation: BMC Bioinformatics 2018 19(Suppl 5):118
    Content type: Research Published on:

  4. Metabolites disrupted by abnormal state of human body are deemed as the effect of diseases. In comparison with the cause of diseases like genes, these markers are easier to be captured for the prevention and d...

    Authors: Yang Hu, Tianyi Zhao, Ningyi Zhang, Tianyi Zang, Jun Zhang and Liang Cheng
    Citation: BMC Bioinformatics 2018 19(Suppl 5):116
    Content type: Research Published on:

  6. Making accurate patient care decision, as early as possible, is a constant challenge, especially for physicians in the emergency department. The increasing volumes of electronic medical records (EMRs) open new...

    Authors: Huaixiao Tou, Lu Yao, Zhongyu Wei, Xiahai Zhuang and Bo Zhang
    Citation: BMC Bioinformatics 2018 19(Suppl 5):117
    Content type: Research Published on:

  7. Recently, measuring phenotype similarity began to play an important role in disease diagnosis. Researchers have begun to pay attention to develop phenotype similarity measurement. However, existing methods ign...

    Authors: Jiajie Peng, Weiwei Hui and Xuequn Shang
    Citation: BMC Bioinformatics 2018 19(Suppl 5):114
    Content type: Research Published on:

  8. Somatic copy number alternations (SCNAs) can be utilized to infer tumor subclonal populations in whole genome seuqncing studies, where usually their read count ratios between tumor-normal paired samples serve ...

    Authors: Yanshuo Chu, Mingxiang Teng and Yadong Wang
    Citation: BMC Bioinformatics 2018 19(Suppl 5):112
    Content type: Research Published on:
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BMC Bioinformatics

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