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Recursive Consensus Clustering for novel subtype discovery from transcriptome data
Large-scale transcriptomic data is used by biologists for the discovery of new molecular patterns or cell subpopulations. Clustering is one of the most popular methods for dimensionality reduction and data analysis for large scale datasets. The major problem while clustering the data is the selectio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7335086/ https://www.ncbi.nlm.nih.gov/pubmed/32620805 http://dx.doi.org/10.1038/s41598-020-67016-3 |