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Integrative clustering of multi-level ‘omic data based on non-negative matrix factorization algorithm
Integrative analyses of high-throughput ‘omic data, such as DNA methylation, DNA copy number alteration, mRNA and protein expression levels, have created unprecedented opportunities to understand the molecular basis of human disease. In particular, integrative analyses have been the cornerstone in t...
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| Veröffentlicht in: | PLoS One |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2017
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5411077/ https://ncbi.nlm.nih.gov/pubmed/28459819 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0176278 |
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