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BMC Bioinformatics

Volume 17 Supplement 15

Proceedings of Statistical Methods for Omics Data Integration and Analysis 2015

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 peer review process was overseen by the Supplement Editor in accordance with BioMed Central’s peer review guidelines for supplements. The Supplement Editor declares that they have no competing interests.

Valencia, Spain14-16 September 2015

Conference website

Edited by David Gomez-Cabrero and Ana Conesa

  1. Content type: Research

    In the study of complex diseases using genome-wide expression data from clinical samples, a difficult case is the identification and mapping of the gene signatures associated to the stages that occur in the pr...

    Authors: Sara Aibar, Maria Abaigar, Francisco Jose Campos-Laborie, Jose Manuel Sánchez-Santos, Jesus M. Hernandez-Rivas and Javier De Las Rivas

    Citation: BMC Bioinformatics 2016 17(Suppl 15):432

    Published on:

  2. Content type: Research

    Deep mining of healthcare data has provided maps of comorbidity relationships between diseases. In parallel, integrative multi-omics investigations have generated high-resolution molecular maps of putative rel...

    Authors: David Gomez-Cabrero, Jörg Menche, Claudia Vargas, Isaac Cano, Dieter Maier, Albert-László Barabási, Jesper Tegnér and Josep Roca

    Citation: BMC Bioinformatics 2016 17(Suppl 15):441

    Published on:

  3. Content type: Research

    The recent pandemic of obesity and the metabolic syndrome (MetS) has led to the realisation that new drug targets are needed to either reduce obesity or the subsequent pathophysiological consequences associate...

    Authors: Animesh Acharjee, Zsuzsanna Ament, James A. West, Elizabeth Stanley and Julian L. Griffin

    Citation: BMC Bioinformatics 2016 17(Suppl 15):440

    Published on: