A matrix rank based concordance index for evaluating and detecting conditional specific co-expressed gene modules

BACKGROUND:  Gene co-expression network analysis (GCNA) is widely adopted in bioinformatics and biomedical research with applications such as gene function prediction, protein-protein interaction inference, disease markers identification, and copy number variance discovery. Currently there is a lack...

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Detalles Bibliográficos
Autores principales: Han, Zhi, Zhang, Jie, Sun, Guoyuan, Liu, Gang, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001231/
https://www.ncbi.nlm.nih.gov/pubmed/27556416
http://dx.doi.org/10.1186/s12864-016-2912-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5001231/
https://www.ncbi.nlm.nih.gov/pubmed/27556416
http://dx.doi.org/10.1186/s12864-016-2912-y

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