Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 100, Issue 6, Pages 3351-3356Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.0530258100
Keywords
DNA microarrays; cell cycle; yeast Saccharomyces cerevisiae; human HeLa cell line
Categories
Funding
- NCI NIH HHS [R01 CA077097, CA 77097, U01 CA085129, CA 85129] Funding Source: Medline
- NHGRI NIH HHS [5K01 HG 00038-01, K01 HG000038] Funding Source: Medline
- NIGMS NIH HHS [R01 GM046406, GM 46406, R37 GM046406] Funding Source: Medline
Ask authors/readers for more resources
We describe a comparative mathematical framework for two genome-scale expression data sets. This framework formulates expression as superposition of the effects of regulatory programs, biological processes, and experimental artifacts common to both data sets, as well as those that are exclusive to one data set or the other, by using generalized singular value decomposition. This framework enables comparative reconstruction and classification of the genes and arrays of both data sets. We illustrate this framework with a comparison of yeast and human cell-cycle expression data sets.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available