Identifying subspace gene clusters from microarray data using low-rank representation.

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:	Yan Cui, Chun-Hou Zheng, Jian Yang
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2013-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23527177/?tool=EBI

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