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.
::DEVELOPER
the Machine Learning Group (MLG)
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux / Windows /Mac OsX
- Python
:: DOWNLOAD
:: 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