Isoform-level gene expression patterns in single-cell RNA-sequencing data

@article{Vu2016IsoformlevelGE,
  title={Isoform-level gene expression patterns in single-cell RNA-sequencing data},
  author={Trung Nghia Vu and Quin F. Wills and Krishna R. Kalari and Nifang Niu and Liewei Wang and Yudi Pawitan and Mattias Rantalainen},
  journal={Bioinformatics},
  year={2016},
  volume={34},
  pages={2392 - 2400}
}
RNA-sequencing of single-cells enables characterization of transcriptional heterogeneity in seemingly homogenous cell populations. In this study we propose and apply a novel method, ISOform-Patterns (ISOP), based on mixture modeling, to characterize the expression patterns of pairs of isoforms from the same gene in single-cell isoform-level expression data. We define six principal patterns of isoform expression relationships and introduce the concept of differential pattern analysis. We applied… 

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