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ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
SUBMITTER: P Spellman
PROVIDER: E-GEOD-23 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Publications
Singular value decomposition for genome-wide expression data processing and modeling.
Alter O O Brown P O PO Botstein D D
Proceedings of the National Academy of Sciences of the United States of America 20000801 18
We describe the use of singular value decomposition in transforming genome-wide expression data from genes x arrays space to reduced diagonalized "eigengenes" x "eigenarrays" space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or arrays). Normalizing the data by filtering out the eigengenes (and eigenarrays) that are inferred to represent noise or experimental artifacts enables meaningful comparison of the expression of different genes across differen ...[more]
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