Missing Value Imputation for Epistatic MAPs
Description:
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.
Downloads:
The software and associated documentation are hosted externally on bioinformatics.org, a bioinformatics focussed open source hosting site. You can visit the homepage here : www.bioinformatics.org/emapimputation/
Contact:
For further information regarding the software and data, please contact Colm Ryan
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