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...

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Detalles Bibliográficos
Autores principales: Singh, Amartya, Bhanot, Gyan, Khiabanian, Hossein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Technical Note
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

Internet

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

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