Conquering computational challenges of omics
data and post-ENCODE paradigms

Li, Haiquan; Maienschein-Cline, Mark; Lussier, Yves A.

Conquering computational challenges of omics data and post-ENCODE paradigms

journal contribution

posted on 2014-03-18, 00:00 authored by Haiquan Li, Mark Maienschein-Cline, Yves A. Lussier

A report on the 21st Annual International Conference on Intelligent Systems for Molecular Biology (ISMB) and 12th European Conference on Computational Biology (ECCB), held in Berlin, Germany, July 21-23, 2013.

Funding

University of Illinois Cancer Center, the University of Illinois CCTS (UL1TR000050) and The Institute for Interventional Health Informatics

History

Publisher Statement

© 2013 Lussier et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Publisher

BioMed Central

Language

en_US

issn

1465-6914

Issue date

2013-08-01

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Keywords

Epigenetic network machine learning statistic modeling

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In Copyright

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