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Volume 20 Supplement 1

Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 2018: genomics

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.

Los Angeles, CA, USA10-12 June 2018

Edited by Zhijin Wu, Jingwen Yan, Kai Wang, Xiaoming Liu, Yan Guo, Degui Zhi, Jianhua Ruan and Zhongming Zhao.

Conference website

Related articles have been published as supplements to BMC Bioinformatics (Part 1 and Part 2), BMC Medical Genomics, BMC Medical Informatics and Decision Making and BMC Systems Biology.

  1. The sixth International Conference on Intelligent Biology and Medicine (ICIBM) took place in Los Angeles, California, USA on June 10–12, 2018. This conference featured eleven regular scientific sessions, four ...

    Authors: Zhijin Wu, Jingwen Yan, Kai Wang, Xiaoming Liu, Yan Guo, Degui Zhi, Jianhua Ruan and Zhongming Zhao
    Citation: BMC Genomics 2019 20(Suppl 1):80
    Content type: Introduction Published on:

  2. Existing functional description of genes are categorical, discrete, and mostly through manual process. In this work, we explore the idea of gene embedding, distributed representation of genes, in the spirit of...

    Authors: Jingcheng Du, Peilin Jia, Yulin Dai, Cui Tao, Zhongming Zhao and Degui Zhi
    Citation: BMC Genomics 2019 20(Suppl 1):82
    Content type: Research Published on:

  3. Cell lines form the cornerstone of cell-based experimentation studies into understanding the underlying mechanisms of normal and disease biology including cancer. However, it is commonly acknowledged that cont...

    Authors: Tabrez A. Mohammad, Yun S. Tsai, Safwa Ameer, Hung-I Harry Chen, Yu-Chiao Chiu and Yidong Chen
    Citation: BMC Genomics 2019 20(Suppl 1):81
    Content type: Research Published on:

  5. Genome-wide association studies (GWAS) have been successful in identifying disease-associated genetic variants. Recently, an increasing number of GWAS summary statistics have been made available to the researc...

    Authors: Guangsheng Pei, Hua Sun, Yulin Dai, Xiaoming Liu, Zhongming Zhao and Peilin Jia
    Citation: BMC Genomics 2019 20(Suppl 1):79
    Content type: Research Published on:
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BMC Genomics

ISSN: 1471-2164

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