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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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Bibliographic Details
Main Authors: Yeung, M. K. Stephen, Tegnér, Jesper, Collins, James J.
Format: Artigo
Language:Inglês
Published: The National Academy of Sciences 2002
Subjects:
Online Access: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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