Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues

Tissue heterogeneity is both a major confounding factor and an underexploited information source. While a handful of reports have demonstrated the potential of supervised computational methods to deconvolute tissue heterogeneity, these approaches require a priori information on the marker genes or c...

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Detalles Bibliográficos
Autores principales: Wang, Niya, Hoffman, Eric P., Chen, Lulu, Chen, Li, Zhang, Zhen, Liu, Chunyu, Yu, Guoqiang, Herrington, David M., Clarke, Robert, Wang, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703969/
https://www.ncbi.nlm.nih.gov/pubmed/26739359
http://dx.doi.org/10.1038/srep18909

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4703969/
https://www.ncbi.nlm.nih.gov/pubmed/26739359
http://dx.doi.org/10.1038/srep18909

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