EDGE

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 7 articles )

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  1. Noma, Hisashi; Matsui, Shigeyuki: An empirical Bayes optimal discovery procedure based on semiparametric hierarchical mixture models (2013)
  2. Angelini, Claudia; De Canditiis, Daniela; Pensky, Marianna: Bayesian methods for time course microarray analysis: from genes’ detection to clustering (2012) ioport
  3. Angelini, Claudia; de Canditiis, Daniela; Pensky, Marianna: Bayesian models for two-sample time-course microarray experiments (2009)
  4. Angelini, Claudia; De Canditiis, Daniela; Mutarelli, Margherita; Pensky, Marianna: A Bayesian approach to estimation and testing in time-course microarray experiments (2007)
  5. 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)
  6. Leek, Jeffrey T.; Monsen, Eva; Dabney, Alan R.; Storey, John D.: Edge: Extraction and analysis of differential gene expression (2006) ioport
  7. Leek, Jeffrey T.; Monsen, Eva; Dabney, Alan R.; Storey, John D.: Edge: Extraction and analysis of differential gene expression bioinformatics 2006 22: 1412; doi:10.1093/bioinformatics/btl149 [full text] [print pdf] i$NP$ut type=”submit” name=”sendit” value=”get all checked $abstract(s)$” to see an article, click its [full text] link. To review many abstracts, check the boxes to the left of the titles you want, and click the ’get all checked $abstract(s)$’ button. To see one abstract at a time, click its [abstract] link. Online issn 1460-2059 - print issn 1367-4803 copyright $\copyright 2006$ Oxford university press Oxford journals (2006) ioport