scOPE learns mutation-linked expression programs from bulk RNA-seq and projects them into single-cell RNA-seq to infer per-cell mutation probabilities, revealing subclonal evolutionary structure that complements CNV analyses.
Map single-cell transcriptomes to copy number evolutionary trees.
TAD-aware annotation of CNVs
DeepSVP: Integration of Genomics and Phenotypes forStructural Variant Prioritization using Deep Learning
