We propose DENDRO, a statistical framework takes scRNA-seq data for a tumor and accurately reconstructs its phylogeny, assigning each single cell from the scRNA-seq data to a subclone. Our approach allows us to (1) cluster cells based on genomic profiles while accounting for transcriptional bursting, technical dropout and sequencing error, as benchmarked on in silico mixture and a spike-in analysis, (2) make robust mutation profile inference in subclonal resolution, and (3) perform DNA-RNA joint analysis with same set of cells and examine the relationship between transcriptomic variation and mutation profile. In addition,
|Author||Zilu Zhou, Nancy R. Zhang|
|Maintainer||Zilu Zhou <[email protected]>|
|Package repository||View on GitHub|
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