Format

Send to

Choose Destination
OMICS. 2004 Summer;8(2):106-17.

Integrated analysis of microarray data and gene function information.

Author information

1
Department of Molecular Sciences, University of Tennessee Health Science Center, Memphis, 38103, USA. ycui2@utmem.edu

Abstract

Microarray data should be interpreted in the context of existing biological knowledge. Here we present integrated analysis of microarray data and gene function classification data using homogeneity analysis. Homogeneity analysis is a graphical multivariate statistical method for analyzing categorical data. It converts categorical data into graphical display. By simultaneously quantifying the microarray-derived gene groups and gene function categories, it captures the complex relations between biological information derived from microarray data and the existing knowledge about the gene function. Thus, homogeneity analysis provides a mathematical framework for integrating the analysis of microarray data and the existing biological knowledge.

PMID:
15268770
DOI:
10.1089/1536231041388320
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Atypon
Loading ...
Support Center