Missing Value Imputation for Epistatic MAPs

Epistatic miniarray profiles (E-MAPs) are a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. The datasets resulting from E-MAP experiments typically take the form of a symmetric pairwise matrix of interaction scores. These datasets have a significant number of missing values - up to 35% - that can reduce the effectiveness of some data analysis techniques and prevent the use of others.

This project contains tools for the imputation and prediction of these missing values.

Click here to visit the project homepage, and here to go directly to the downloads section.

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These methods have been discussed in the following papers :

Missing value imputation for epistatic MAPs
Colm Ryan , Derek Greene , Gerard Cagney and Pádraig Cunningham
BMC Bioinformatics 2010, 11:197 doi:10.1186/1471-2105-11-197
http://www.biomedcentral.com/1471-2105/11/197

Imputing and predicting quantitative genetic interactions in epistatic MAPs
Colm Ryan, Gerard Cagney, Nevan Krogan, Pádraig Cunningham, Derek Greene
In Press, Network Biology: Methods and Protocols