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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

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