Singular value decomposition for genome-wide expression data processing and modeling
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). Normalizing the...
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| Publicado no: | Proc Natl Acad Sci U S A |
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| Principais autores: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2000
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC27718/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/10963673/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.97.18.10101 |
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