:: DESCRIPTION
DiME is a novel algorithm to identify putative disease modules from biological networks.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
DiME: a scalable disease module identification algorithm with application to glioma progression.
Liu Y, Tennant DA, Zhu Z, Heath JK, Yao X, He S.
PLoS One. 2014 Feb 11;9(2):e86693. doi: 10.1371/journal.pone.0086693.
:: DESCRIPTION
DIME (Differential Identification using Mixtures Ensemble) is an ensemble of methods for differential analysis. Specifically, it considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) for analyzing ChIP-seq data comparing two samples. This package can also be used to identify differential in other high throughput data such as microarray and DNA methylation.
::DEVELOPER
Statistical Genetics and Bioinformatics Group
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Taslim, C., Huang, T., and Lin, S. (2011).
DIME: R-package for Identifying Differential ChIP-seq Based on an Ensemble of Mixture Models.
Bioinformatics, 27, 1569-1570.
