E-MAPs 1.1 – Imputing Quantitative Genetic Interactions

E-MAPs 1.1

:: DESCRIPTION

E-MAPs (Epistatic miniarray profiles) 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.

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::DEVELOPER

Colm Ryan  (colm.ryan@ucd.ie)  @ the Machine Learning Group (MLG)

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows /Mac OsX
  • Python

:: DOWNLOAD

 E-MAPs

:: MORE INFORMATION

Citation

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