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  1. Descriptive probabilistic marker gene approach to single-cell pseudotime inference

    R 28 3

  2. Bayesian inference of clone-specific gene expression estimates by integrating single-cell RNA-seq and single-cell DNA-seq data

    R 19 6

  3. Automated, probabilistic assignment of cell types in scRNA-seq data

    R 89 10

  4. Genomic trajectories (pseudotimes) in the presence of heterogenous environmental and genetic backgrounds

    C++ 5

  5. Inference of switch-like differential expression along single-cell trajectories

    R 13 4

  6. Probabilistic single-cell pseudotime with Edward+Tensorflow

    Python 13 1

293 contributions in the last year

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November 2019

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