Singular value decomposition for genome-wide expression data processing and modeling (Q29618495)
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English | Singular value decomposition for genome-wide expression data processing and modeling |
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Singular value decomposition for genome-wide expression data processing and modeling (English)
3 references
We describe the use of singular value decomposition in transforming genome-wide expression data from genes × arrays space to reduced diagonalized “eigengenes” × “eigenarrays” space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or arrays). (English)
29 August 2000
97
18
10101–10106
National Research Council, Mathematics and 21st Century Biology. Washington, DC: National Academies Press (July 2005), 149 pp. (English)