… whose co-expressions significantly vary … by differential expression and co-expression
analysis alone. A pair of genes may show shift-and/or-scale, cross/inverse and rewiring expression …

… Tool, which allows users to calculate co-expression … differential co-expression in an intuitive
way. The package is aimed at biologists who want to analyse differential co-expression in …

… differential coexpression. Our conclusion is that to a large extent, differential coexpression
is more parsimoniously explained by changes in average expression levels and pure links …

… In this study, we have developed a novel DECODE (Differential Co-expression and
Differential Expression) analytical approach that coherently integrates DC and DE aspects. In …

… gene expression assays are often used to infer functional relationships between genes
from correlations between their expression levels, building the so-called gene co-expression …

… differential expression analysis, the differential coexpression analysis can identify gene markers
from the systematic level… existing methods for differential coexpression network analysis …

… of differential gene expression, we propose a new efficient algorithm based on a Markov
random field (MRF) model, called MRFSeq, that uses additional gene coexpression data to …

… co-expressed modules, we extend co-expression analysis with … differential co-expression
analysis by identifying the hub gene(s) or miRNA(s) from each differentially co-expressed gene …

… In general, correlation-based analyses require more samples than differential expression
analysis and we recommend having at least 32 observations per condition to allow confident …

… co-expressed in one phenotype much more than in the other. Here we develop a new
method for detecting differential co-expression and test it on case-control expression profiles of …