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Volume 17 Supplement 5

Selected articles from Statistical Methods for Omics Data Integration and Analysis 2014


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.

Heraklion, Crete, Greece10-12 November 2014

Edited by Pavlos Pavlidis, Vincenzo Lagani, Nestoras Karathanasis and Maria Markaki.

  1. Joint and individual variation explained (JIVE), distinct and common simultaneous component analysis (DISCO) and O2-PLS, a two-block (X-Y) latent variable regression method with an integral OSC filter can all ...

    Authors: Frans M. van der Kloet, Patricia Sebastián-León, Ana Conesa, Age K. Smilde and Johan A. Westerhuis
    Citation: BMC Bioinformatics 2016 17(Suppl 5):S195
  2. We address the problem of integratively analyzing multiple gene expression, microarray datasets in order to reconstruct gene-gene interaction networks. Integrating multiple datasets is generally believed to pr...

    Authors: Vincenzo Lagani, Argyro D. Karozou, David Gomez-Cabrero, Gilad Silberberg and Ioannis Tsamardinos
    Citation: BMC Bioinformatics 2016 17(Suppl 5):S194

    The Erratum to this article has been published in BMC Bioinformatics 2016 17:290

  3. Mixed graphical models (MGMs) are graphical models learned over a combination of continuous and discrete variables. Mixed variable types are common in biomedical datasets. MGMs consist of a parameterized joint...

    Authors: Andrew J. Sedgewick, Ivy Shi, Rory M. Donovan and Panayiotis V. Benos
    Citation: BMC Bioinformatics 2016 17(Suppl 5):S175
  4. Under both physiological and pathological conditions gene expression programs are shaped through the interplay of regulatory proteins and their gene targets, interactions between which form intricate gene regu...

    Authors: Panagiotis Chouvardas, George Kollias and Christoforos Nikolaou
    Citation: BMC Bioinformatics 2016 17(Suppl 5):181
  5. Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. While such me...

    Authors: Nikolas Papanikolaou, Georgios A. Pavlopoulos, Theodosios Theodosiou, Ioannis S. Vizirianakis and Ioannis Iliopoulos
    Citation: BMC Bioinformatics 2016 17(Suppl 5):182
  6. Peak calling is a fundamental step in the analysis of data generated by ChIP-seq or similar techniques to acquire epigenetics information. Current peak callers are often hard to parameterise and may therefore ...

    Authors: Francesco Strino and Michael Lappe
    Citation: BMC Bioinformatics 2016 17(Suppl 5):S206
  7. In order to find genetic and metabolic pathways related to phenotypic traits of interest, we analyzed gene expression data, metabolite data obtained with GC-MS and LC-MS, proteomics data and a selected set of ...

    Authors: Animesh Acharjee, Bjorn Kloosterman, Richard G. F. Visser and Chris Maliepaard
    Citation: BMC Bioinformatics 2016 17(Suppl 5):180
  8. Somatic Hypermutation (SHM) refers to the introduction of mutations within rearranged V(D)J genes, a process that increases the diversity of Immunoglobulins (IGs). The analysis of SHM has offered critical insi...

    Authors: Ioannis Kavakiotis, Aliki Xochelli, Andreas Agathangelidis, Grigorios Tsoumakas, Nicos Maglaveras, Kostas Stamatopoulos, Anastasia Hadzidimitriou, Ioannis Vlahavas and Ioanna Chouvarda
    Citation: BMC Bioinformatics 2016 17(Suppl 5):173
  9. In recent years, high throughput technologies have led to an increase of datasets from omics disciplines allowing the understanding of the complex regulatory networks associated with biological processes. Leaf...

    Authors: Sebastián Moschen, Janet Higgins, Julio A. Di Rienzo, Ruth A. Heinz, Norma Paniego and Paula Fernandez
    Citation: BMC Bioinformatics 2016 17(Suppl 5):174

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