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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...
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| Veröffentlicht in: | BMC Bioinformatics |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6509871/ https://ncbi.nlm.nih.gov/pubmed/31074376 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2733-5 |
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