Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network

  Advanced Search  

BIOINFORMATICS Vol. 19 no. 9 2003, pages 11471152

Vol. 19 no. 9 2003, pages 11471152
DOI: 10.1093/bioinformatics/btg011
A statistical problem for inference to regulatory
structure from associations of gene expression
measurements with microarrays
Tianjiao Chu1,, Clark Glymour2, Richard Scheines1 and
Peter Spirtes2
1Department of Philosophy, Carnegie Mellon University and 2Department of
Philosophy, Carnegie Mellon University and Institute for Human and Machine
Cognition, University of West Florida
Received on April 30, 2002; revised and accepted on September 16, 2002
Motivation: One approach to inferring genetic regula-
tory structure from microarray measurements of mRNA
transcript hybridization is to estimate the associations
of gene expression levels measured in repeated sam-
ples. The associations may be estimated by correlation
coefficients or by conditional frequencies (for discretized
measurements) or by some other statistic. Although these


Source: Andrews, Peter B. - Department of Mathematical Sciences, Carnegie Mellon University
Murphy, Robert F. - Department of Biological Sciences & School of Computer Science, Carnegie Mellon University


Collections: Biology and Medicine; Computer Technologies and Information Sciences; Mathematics