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Comparative and Functional Genomics
Volume 2012, Article ID 284786, 13 pages
Research Article

Predictive Models of Gene Regulation from High-Throughput Epigenomics Data

1Computational Genomics, Universitat Pompeu Fabra, Dr. Aiguader 88, Barcelona, Spain
2Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, Barcelona, Spain

Received 3 February 2012; Accepted 2 May 2012

Academic Editor: Sonia Vanina Forcales

Copyright © 2012 Sonja Althammer et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The Supplementary Material contains plots related to all the attributes, regions and gene-sets, described in the text, providing exhaustive information and complementing the ones presented in the main text. In particular, it includes the read profiles of the marks for the various gene sets, pair-wise correlations of marks for all regions and gene sets, z-score distributions for informative and non-informative attributes not included in the main text, the attribute Information Gain values for all regions before and after removing overlapping genes, Information Gain value comparison between intron-less and introncontaining genes for all considered regions, accuracy evaluation of the predictions on the intron-less genes, the exhaustive list of informative features obtained from the different training sets, the list of most informative attributes per genic region and the accuracy achieved using those, and the Pyicos command lines used to perform the analyses.

  1. Supplementary Materials