Gene set analysis for longitudinal gene expression data

Gene set analysis for longitudinal gene expression data

Ke Zhang email, Haiyan Wang email, Arne C Bathke email, Solomon W Harrar email, Hans-Peter Piepho email and Youping Deng email

BMC Bioinformatics 2011, 12:273doi:10.1186/1471-2105-12-273
Published: 3 July 2011

http://www.biomedcentral.com/1471-2105/12/273/abstract

Nowadays, an increasing number of microarray studies are conducted to explore the dynamic changes of gene expression in a variety of species and biological scenarios. In these longitudinal studies, gene expression is repeatedly measured over time such that a Gene set analysis (GSA) needs to take into account the within-gene correlations in addition to possible between-gene correlations.