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Volume 6 Supplement 7

Proceedings of the Great Lakes Bioinformatics Conference 2012


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. 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
  2. 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
  3. 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
  4. 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

Annual Journal Metrics

  • 2022 Citation Impact
    0.914 - SNIP (Source Normalized Impact per Paper)
    0.506 - SJR (SCImago Journal Rank)

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