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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Detalles Bibliográficos
Autores principales: Cui, Yan, Zheng, Chun-Hou, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602020/
https://www.ncbi.nlm.nih.gov/pubmed/23527177
http://dx.doi.org/10.1371/journal.pone.0059377

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602020/
https://www.ncbi.nlm.nih.gov/pubmed/23527177
http://dx.doi.org/10.1371/journal.pone.0059377

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