Generalized gene co-expression analysis via subspace clustering using low-rank representation

BACKGROUND: Gene Co-expression Network Analysis (GCNA) helps identify gene modules with potential biological functions and has become a popular method in bioinformatics and biomedical research. However, most current GCNA algorithms use correlation to build gene co-expression networks and identify mo...

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Detalles Bibliográficos
Autores principales: Wang, Tongxin, Zhang, Jie, Huang, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509871/
https://www.ncbi.nlm.nih.gov/pubmed/31074376
http://dx.doi.org/10.1186/s12859-019-2733-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509871/
https://www.ncbi.nlm.nih.gov/pubmed/31074376
http://dx.doi.org/10.1186/s12859-019-2733-5

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