scTML: a pan-cancer single-cell landscape of multiple mutation types
Haochen Li,
Tianxing Ma,
Zetong Zhao
et al.
Abstract:Investigating mutations, including single nucleotide variations (SNVs), gene fusions, alternative splicing and copy number variations (CNVs), is fundamental to cancer study. Recent computational methods and biological research have demonstrated the reliability and biological significance of detecting mutations from single-cell transcriptomic data. However, there is a lack of a single-cell-level database containing comprehensive mutation information in all types of cancer. Establishing a single-cell mutation la… Show more
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