Background: Large microarray datasets have enabled gene regulation to be studied through coexpression analysis. While numerous methods have been developed for identifying differen...
Bruno M. Tesson, Rainer Breitling, Ritsert C. Jans...
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
Background: In cancer, gene networks and pathways often exhibit dynamic behavior, particularly during the process of carcinogenesis. Thus, it is important to prioritize those gene...
Chen Wang, Jianhua Xuan, Huai Li, Yue Wang, Ming Z...
We study the evolution of simple cells that are equipped with a genome, a rudimentary gene regulation network at transcription level and two classes of functional genes: motion eļ¬...
Camille Stephan-Otto Attolini, Peter F. Stadler, C...
Discovering groups of genes that share common expression proļ¬les is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...