OryzaExpress: an integrated database of gene expression networks and omics annotations in rice.

ABSTRACT: Similarity of gene expression profiles provides important clues for understanding the biological functions of genes, biological processes and metabolic pathways related to genes. A gene expression network (GEN) is an ideal choice to grasp such expression profile similarities among genes simultaneously. For GEN construction, the Pearson correlation coefficient (PCC) has been widely used as an index to evaluate the similarities of expression profiles for gene pairs. However, calculation of PCCs for all gene pairs requires large amounts of both time and computer resources. Based on correspondence analysis, we developed a new method for GEN construction, which takes minimal time even for large-scale expression data with general computational circumstances. Moreover, our method requires no prio

SUBMITTER: Hamada K 

PROVIDER: S-EPMC3037078 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature