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Epistatic MAPs(E-MAP) are a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. This project contains applications for imputing / predicting missing values in E-MAP datasets.
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We are pleased to announce the first version of our imputation tools to be hosted on bioinformatics.org
Epistatic MAPs (E-MAP) are a high-throughput approach capable of quantifying aggravating or alleviating genetic interactions between gene pairs. This project contains applications for imputing / predicting missing values in E-MAP datasets.
A notable addition to this release (v 1.1) is a tool for performing K fold cross validation, which allows users to estimate the accuracy of imputation on a given dataset.
This functions by partitioning the present interactions into ten equally sized folds. Imputation is then performed ten times, with the interactions from one fold hidden in each run. These artificially introduced missing values allow us to estimate the accuracy of the the imputation.
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