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TuBA: Tunable biclustering algorithm reveals clinically relevant tumor transcriptional profiles in breast cancer
BACKGROUND: Traditional clustering approaches for gene expression data are not well adapted to address the complexity and heterogeneity of tumors, where small sets of genes may be aberrantly co-expressed in specific subsets of tumors. Biclustering algorithms that perform local clustering on subsets...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6582332/ https://www.ncbi.nlm.nih.gov/pubmed/31216036 http://dx.doi.org/10.1093/gigascience/giz064 |