Article
scTML: a pan-cancer single-cell landscape of multiple mutation types.
Nucleic acids research - 6 Jan 2025
Li Haochen, Ma Tianxing, Zhao Zetong, Chen Yixin, Xi Xi, Zhao Xiaofei, Zhou Xiaoxiang, Gao Yibo, Wei Lei, Zhang Xuegong
Abstract excerpt
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...
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