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BMC Bioinformatics

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Volume 14 Supplement 18

Selected articles from the Second IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2012): Bioinformatics

Research

Edited by Ion Mandoiu, Mihai Pop, Sanguthevar Rajasekaran and John Spouge

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. Article have undergone the journal's standard review process for supplements. The Supplement Editors declare that they have no competing interests.

Second IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS 2012). Go to conference site.

Las Vegas, NV, USA23-25 February 2012

  1. Content type: Research

    Subtypes are widely found in cancer. They are characterized with different behaviors in clinical and molecular profiles, such as survival rates, gene signature and copy number aberrations (CNAs). While cancer ...

    Authors: Peikai Chen, Yubo Fan, Tsz-kwong Man, YS Hung, Ching C Lau and Stephen TC Wong

    Citation: BMC Bioinformatics 2013 14(Suppl 18):S1

    Published on:

  2. Content type: Research

    We initiate in silico rigidity-theoretical studies of biological assemblies and small crystals for protein structures. The goal is to determine if, and how, the interactions among neighboring cells and subchains ...

    Authors: Filip Jagodzinski, Pamela Clark, Jessica Grant, Tiffany Liu, Samantha Monastra and Ileana Streinu

    Citation: BMC Bioinformatics 2013 14(Suppl 18):S2

    Published on:

  3. Content type: Research

    In the antennal lobe, a dedicated olfactory center of the honeybee brain, odours are encoded as activity patterns of coding units, the so-called glomeruli. Optical imaging with calcium-sensitive dyes allows us...

    Authors: Martin Strauch, Julia Rein, Christian Lutz and C Giovanni Galizia

    Citation: BMC Bioinformatics 2013 14(Suppl 18):S4

    Published on:

  4. Content type: Research

    Gene regulatory networks (GRN) inference is an important bioinformatics problem in which the gene interactions need to be deduced from gene expression data, such as microarray data. Feature selection methods c...

    Authors: Fabrizio F Borelli, Raphael Y de Camargo, David C Martins Jr and Luiz CS Rozante

    Citation: BMC Bioinformatics 2013 14(Suppl 18):S5

    Published on:

2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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