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Reverse engineering gene networks using singular value decomposition and robust regression
We propose a scheme to reverse-engineer gene networks on a genome-wide scale using a relatively small amount of gene expression data from microarray experiments. Our method is based on the empirical observation that such networks are typically large and sparse. It uses singular value decomposition t...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
The National Academy of Sciences
2002
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC122920/ https://ncbi.nlm.nih.gov/pubmed/11983907 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.092576199 |
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