Alignment of gene expression profiles from test samples against a reference database: New method for context-specific interpretation of microarray data.

ABSTRACT:

Background

Gene expression microarray data have been organized and made available as public databases, but the utilization of such highly heterogeneous reference datasets in the interpretation of data from individual test samples is not as developed as e.g. in the field of nucleotide sequence comparisons. We have created a rapid and powerful approach for the alignment of microarray gene expression profiles (AGEP) from test samples with those contained in a large annotated public reference database and demonstrate here how this can facilitate interpretation of microarray data from individual samples.

Methods

AGEP is based on the calculation of kernel density distributions for the levels of expression of each gene in each reference tissue type and provides a quantitation of th

SUBMITTER: Kilpinen SK 

PROVIDER: S-EPMC3080808 | biostudies-literature | 2011 Mar

REPOSITORIES: biostudies-literature