MIClique: An Algorithm to Identify Differentially Coexpressed Disease Gene Subset from Microarray Data

Computational analysis of microarray data has provided an effective way to identify disease-related genes. Traditional disease gene selection methods from microarray data such as statistical test always focus on differentially expressed genes in different samples by individual gene prioritization. T...

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Detalles Bibliográficos
Autores principales: Zhang, Huanping, Song, Xiaofeng, Wang, Huinan, Zhang, Xiaobai
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2822236/
https://www.ncbi.nlm.nih.gov/pubmed/20169000
http://dx.doi.org/10.1155/2009/642524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2822236/
https://www.ncbi.nlm.nih.gov/pubmed/20169000
http://dx.doi.org/10.1155/2009/642524

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