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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...
Autores principales: | Wang, Niya, Hoffman, Eric P., Chen, Lulu, Chen, Li, Zhang, Zhen, Liu, Chunyu, Yu, Guoqiang, Herrington, David M., Clarke, Robert, Wang, Yue |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
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 |
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