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Volume 17 Supplement 16

Proceedings of the 10th International Workshop on Machine Learning in Systems Biology (MLSB 2016)


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.

Den Haag, The Netherlands3-4 September 2016

  1. Content type: Research

    Functional genomic and epigenomic research relies fundamentally on sequencing based methods like ChIP-seq for the detection of DNA-protein interactions. These techniques return large, high dimensional data set...

    Authors: Saulius Lukauskas, Roberto Visintainer, Guido Sanguinetti and Gabriele B. Schweikert

    Citation: BMC Bioinformatics 2016 17(Suppl 16):447

    Published on:

  2. Content type: Research

    Various chromatin modifications, identified in large-scale epigenomic analyses, are associated with distinct phenotypes of different cells and disease phases. To improve our understanding of these variations, ...

    Authors: Sung Hee Park, Sun-Min Lee, Young-Joon Kim and Sangsoo Kim

    Citation: BMC Bioinformatics 2016 17(Suppl 16):452

    Published on:

  3. Content type: Research

    The last decades witnessed an explosion of large-scale biological datasets whose analyses require the continuous development of innovative algorithms. Many of these high-dimensional datasets are related to lar...

    Authors: Séverine Affeldt, Nataliya Sokolovska, Edi Prifti and Jean-Daniel Zucker

    Citation: BMC Bioinformatics 2016 17(Suppl 16):493

    Published on:

  4. Content type: Research

    Modeling survival oncological data has become a major challenge as the increase in the amount of molecular information nowadays available means that the number of features greatly exceeds the number of observa...

    Authors: André Veríssimo, Arlindo Limede Oliveira, Marie-France Sagot and Susana Vinga

    Citation: BMC Bioinformatics 2016 17(Suppl 16):449

    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)


    Social Media Impact
    4446 mentions