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

@inproceedings{Wang2016MathematicalMO,
  title={Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues},
  author={Niya Wang and Eric P. Hoffman and Lulu Chen and Li Chen and Zhen Zhang and Chunyu Liu and Guoqiang Yu and David M. Herrington and Robert Clarke and Yue Wang},
  booktitle={Scientific reports},
  year={2016}
}
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 composition of known subpopulations. To address the critical problem of the absence of validated marker genes for many (including novel) subpopulations, we describe convex analysis of mixtures (CAM… CONTINUE READING
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Computational analysis of celltocell heterogeneity in single - cell RNAsequencing data reveals hidden subpopulations of cells

F. Buettner
Nat Biotechnol • 2015

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