scCMP: A Deep Learning Method for Identifying Clonal Mutational Profiles From Single-Cell Genomic Data

Accurately inferring clonal mutational profiles is essential for understanding intra-tumor heterogeneity and clonal selection during tumor evolution. Single-cell multi-modal genomic data, such as copy numbers and point mutations, can be integrated to deliver multiple views of the clonal mutational p...

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Bibliographic Details

Published in:	IEEE Transactions on Computational Biology and Bioinformatics Vol. 22; no. 4; pp. 1378 - 1387
Main Authors:	Zhou, Junlei, Li, Ruixiang, Shi, Fangyuan, Huo, Xianhao, Du, Fang, Yu, Zhenhua
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.07.2025
Subjects:	autoencoder Autoencoders Bioinformatics clustering Data mining Encoding Feature extraction Genomics Sequential analysis single-cell sequencing Training Transformer Transformers Tumors
ISSN:	2998-4165, 2998-4165
Online Access:	Get full text
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