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Volume 19 Supplement 3

Selected original research articles from the Fourth International Workshop on Computational Network Biology: Modeling, Analysis, and Control (CNB-MAC 2017): bioinformatics

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.

Boston, MA, USA20 August 2017

Conference website

Edited by Byung-Jun Yoon, Xiaoning Qian, Tamer Kahveci

Related articles have been published as a supplement to BMC Genomics and BMC Systems Biology.

  1. Content type: Research

    A significant problem in precision medicine is the prediction of drug sensitivity for individual cancer cell lines. Predictive models such as Random Forests have shown promising performance while predicting fr...

    Authors: Kevin Matlock, Carlos De Niz, Raziur Rahman, Souparno Ghosh and Ranadip Pal

    Citation: BMC Bioinformatics 2018 19(Suppl 3):71

    Published on:

  2. Content type: Research

    Analyzing Variance heterogeneity in genome wide association studies (vGWAS) is an emerging approach for detecting genetic loci involved in gene-gene and gene-environment interactions. vGWAS analysis detects va...

    Authors: Ahmad Al Kawam, Mustafa Alshawaqfeh, James J. Cai, Erchin Serpedin and Aniruddha Datta

    Citation: BMC Bioinformatics 2018 19(Suppl 3):72

    Published on:

  3. Content type: Research

    Cancer Tissue Heterogeneity is an important consideration in cancer research as it can give insights into the causes and progression of cancer. It is known to play a significant role in cancer cell survival, g...

    Authors: Ashish Katiyar, Anwoy Mohanty, Jianping Hua, Sima Chao, Rosana Lopes, Aniruddha Datta and Michael L. Bittner

    Citation: BMC Bioinformatics 2018 19(Suppl 3):90

    Published on:

  4. Content type: Research

    Computational network biology is an emerging interdisciplinary research area. Among many other network approaches, probabilistic graphical models provide a comprehensive probabilistic characterization of inter...

    Authors: Yang Ni, Peter Müller, Lin Wei and Yuan Ji

    Citation: BMC Bioinformatics 2018 19(Suppl 3):63

    Published on:

2017 Journal Metrics

  • Citation Impact
    2.213 - 2-year Impact Factor
    3.114 - 5-year Impact Factor
    0.878 - Source Normalized Impact per Paper (SNIP)
    1.479 - SCImago Journal Rank (SJR)

    Usage 
    4,129,368 downloads

    Social Media Impact
    4446 mentions

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