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Volume 6 Supplement 7

Proceedings of the Great Lakes Bioinformatics Conference 2012

Proceedings

Edited by Laura Brown, Margit Burmeister and Elodie Ghedin

This supplement has not been supported by sponsorship or other external funding

Great Lakes Bioinformatics Conference 2012. Go to conference site.

Ann Arbor, MI, USA15-17 May 2012

  1. Content type: Proceedings

    In recent years, many algorithms have been developed for network-based analysis of differential gene expression in complex diseases. These algorithms use protein-protein interaction (PPI) networks as an integr...

    Authors: Sinan Erten, Salim A Chowdhury, Xiaowei Guan, Rod K Nibbe, Jill S Barnholtz-Sloan, Mark R Chance and Mehmet Koyutürk

    Citation: BMC Proceedings 2012 6(Suppl 7):S1

    Published on:

  2. Content type: Proceedings

    Machine learning approaches for classification learn the pattern of the feature space of different classes, or learn a boundary that separates the feature space into different classes. The features of the data...

    Authors: Mohamed Thahir, Tarun Sharma and Madhavi K Ganapathiraju

    Citation: BMC Proceedings 2012 6(Suppl 7):S2

    Published on:

  3. Content type: Proceedings

    Decades of genome-wide association studies (GWAS) have accumulated large volumes of genomic data that can potentially be reused to increase statistical power of new studies, but different genotyping platforms ...

    Authors: Yi-Hung Huang, John P Rice, Scott F Saccone, José Luis Ambite, Yigal Arens, Jay A Tischfield and Chun-Nan Hsu

    Citation: BMC Proceedings 2012 6(Suppl 7):S3

    Published on:

  4. Content type: Proceedings

    Advancements in function prediction algorithms are enabling large scale computational annotation for newly sequenced genomes. With the increase in the number of functionally well characterized proteins it has ...

    Authors: Ishita K Khan, Meghana Chitale, Catherine Rayon and Daisuke Kihara

    Citation: BMC Proceedings 2012 6(Suppl 7):S5

    Published on:

2017 Journal Metrics

  • Citation Impact

    0.74 - Cite Score

    0.334 - Source Normalized Impact per Paper (SNIP)

    0.35 - SCImago Journal Rank (SJR)

     

    Usage

    455,921 downloads

     

    Social Media Impact

    148 mentions

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