TY - JOUR AU - Watson, Michael PY - 2006 DA - 2006/11/20 TI - CoXpress: differential co-expression in gene expression data JO - BMC Bioinformatics SP - 509 VL - 7 IS - 1 AB - Traditional methods of analysing gene expression data often include a statistical test to find differentially expressed genes, or use of a clustering algorithm to find groups of genes that behave similarly across a dataset. However, these methods may miss groups of genes which form differential co-expression patterns under different subsets of experimental conditions. Here we describe coXpress, an R package that allows researchers to identify groups of genes that are differentially co-expressed. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-7-509 DO - 10.1186/1471-2105-7-509 ID - Watson2006 ER -