scGAL: unmask tumor clonal substructure by jointly analyzing independent single-cell copy number and scRNA-seq data
Ruixiang Li,
Fangyuan Shi,
Lijuan Song
et al.
Abstract:Background
Accurately deciphering clonal copy number substructure can provide insights into the evolutionary mechanism of cancer, and clustering single-cell copy number profiles has become an effective means to unmask intra-tumor heterogeneity (ITH). However, copy numbers inferred from single-cell DNA sequencing (scDNA-seq) data are error-prone due to technically confounding factors such as amplification bias and allele-dropout, and this makes it difficult to precisely identify the ITH.
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