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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| 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 |