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. 2015 Apr 3;16(1):263. doi: 10.1186/s12864-015-1465-9

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© Das et al.; licensee Biomed Central. 2015

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Flowchart illustrating the different steps in ENCAPP. The inputs to ENCAPP are RMA-normalized expression data and modules from a reference human protein interactome network. These are then combined into features that are input to an elastic-net based regression model. The performance of the model is evaluated using cross-validation.