EDGE: extraction and analysis of differential gene expression. Summary: EDGE (Extraction of Differential Gene Expression) is an open source, point-and-click software program for the significance analysis of DNA microarray experiments. EDGE can perform both standard and time course differential expression analysis. The functions are based on newly developed statistical theory and methods. This document introduces the EDGE software package. Availability: EDGE is freely available for non-commercial users. EDGE can be downloaded for Windows, Macintosh and Linux/UNIX from http://faculty.washington.edu/jstorey/edge
References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
- Noma, Hisashi; Matsui, Shigeyuki: An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models (2013)
- Angelini, Claudia; De Canditiis, Daniela; Pensky, Marianna: Bayesian methods for time course microarray analysis: from genes’ detection to clustering (2012)
- Angelini, Claudia; de Canditiis, Daniela; Pensky, Marianna: Bayesian models for two-sample time-course microarray experiments (2009)
- Angelini, Claudia; De Canditiis, Daniela; Mutarelli, Margherita; Pensky, Marianna: A Bayesian approach to estimation and testing in time-course microarray experiments (2007)
- Storey, John D.; Dai, James Y.; Leek, Jeffrey T.: The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments (2007)