Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation

Identifying subspace gene clusters from the gene expression data is useful for discovering novel functional gene interactions. In this paper, we propose to use low-rank representation (LRR) to identify the subspace gene clusters from microarray data. LRR seeks the lowest-rank representation among al...

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Bibliographic Details
Main Authors: Cui, Yan, Zheng, Chun-Hou, Yang, Jian
Format: Artigo
Language:Inglês
Published: Public Library of Science 2013
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC3602020/
https://ncbi.nlm.nih.gov/pubmed/23527177
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0059377
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