We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Extracting binary signals from microarray time-course data.
- Authors
Sahoo, Debashis; Dill, David L; Tibshirani, Rob; Plevritis, Sylvia K
- Abstract
This article presents a new method for analyzing microarray time courses by identifying genes that undergo abrupt transitions in expression level, and the time at which the transitions occur. The algorithm matches the sequence of expression levels for each gene against temporal patterns having one or two transitions between two expression levels. The algorithm reports a P-value for the matching pattern of each gene, and a global false discovery rate can also be computed. After matching, genes can be sorted by the direction and time of transitions. Genes can be partitioned into sets based on the direction and time of change for further analysis, such as comparison with Gene Ontology annotations or binding site motifs. The method is evaluated on simulated and actual time-course data. On microarray data for budding yeast, it is shown that the groups of genes that change in similar ways and at similar times have significant and relevant Gene Ontology annotations.
- Publication
Nucleic acids research, 2007, Vol 35, Issue 11, p3705
- ISSN
1362-4962
- Publication type
Journal Article
- DOI
10.1093/nar/gkm284