RDAClone: Deciphering Tumor Heterozygosity through Single-Cell Genomics Data Analysis with Robust Deep Autoencoder

RDAClone: Deciphering Tumor Heterozygosity through Single-Cell Genomics Data Analysis with Robust Deep Autoencoder

Rapid advances in single-cell genomics sequencing (SCGS) have allowed researchers to characterize tumor heterozygosity with unprecedented resolution and reveal the phylogenetic relationships between tumor cells or clones. However, high sequencing error rates of current SCGS data, i.e., false positiv...

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Bibliographic Details
Main Authors: Jie Xia, Lequn Wang, Guijun Zhang, Chunman Zuo, Luonan Chen
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Genes
Subjects:
single-cell genomics sequencing
deep learning
Louvain-Jaccard method
cell clustering
phylogenetic relationship
Online Access:https://www.mdpi.com/2073-4425/12/12/1847

Internet

https://www.mdpi.com/2073-4425/12/12/1847

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