Singular Value Decomposition for Gene Expression Data Processing and Modeling (Q113432069)
scientific report
| Language | Label | Description | Also known as |
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| default for all languages | No label defined |
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| English | Singular Value Decomposition for Gene Expression Data Processing and Modeling |
scientific report |
Statements
2 references
1999, Orly Alter et al., ‘‘Singular Value Decomposition for Gene Expression Data Processing and Modeling.’’ In: After the Genome V (December 6–10, 1999, Jackson Hole, WY) (English)
Alter Lab (English)
Singular Value Decomposition for Gene Expression Data Processing and Modeling (English)
2 references
1999, Orly Alter et al., ‘‘Singular Value Decomposition for Gene Expression Data Processing and Modeling.’’ In: After the Genome V (December 6–10, 1999, Jackson Hole, WY) (English)
Alter Lab (English)
2 references
We describe the use of singular value decomposition in transforming gene expression data from genes/arrays space to ‘‘eigengenes’’/‘‘eigenarrays’’ space, where the eigengenes and eigenarrays are unique orthonormal superpositions of the genes and arrays, respectively. (English)
1 reference
1999, Orly Alter et al., ‘‘Singular Value Decomposition for Gene Expression Data Processing and Modeling.’’ In: After the Genome V (December 6–10, 1999, Jackson Hole, WY) (English)
1 reference
1999, Orly Alter et al., ‘‘Singular Value Decomposition for Gene Expression Data Processing and Modeling.’’ In: After the Genome V (December 6–10, 1999, Jackson Hole, WY) (English)
1 reference
1999, Orly Alter et al., ‘‘Singular Value Decomposition for Gene Expression Data Processing and Modeling.’’ In: After the Genome V (December 6–10, 1999, Jackson Hole, WY) (English)
October 1999
0 references