Identification of nutrient partitioning genes participating in rice grain filling by singular value decomposition (SVD) of genome expression data.

ABSTRACT:

Background

In order to identify rice genes involved in nutrient partitioning, microarray experiments have been done to quantify genomic scale gene expression. Genes involved in nutrient partitioning, specifically grain filling, will be used to identify other co-regulated genes, and DNA binding proteins. Proper identification of the initial set of bait genes used for further investigation is critical. Hierarchical clustering is useful for grouping genes with similar expression profiles, but decreases in utility as data complexity and systematic noise increases. Also, its rigid classification of genes is not consistent with our belief that some genes exhibit multifaceted, context dependent regulation.

Results

Singular value decomposition (SVD) of microarray data was investigat

SUBMITTER: Anderson A 

PROVIDER: S-EPMC169189 | biostudies-literature | 2003 Jul

REPOSITORIES: biostudies-literature