A parametric model for clustering single-cell mutation data
Author:
Affiliation:
1. Ningxia University,School of Information Engineering,Yinchuan,China
2. Guangzhou Medical University,School of Biomedical Engineering,Guangzhou,China
Funder
National Natural Science Foundation of China
Chinese Academy of Sciences
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995308.pdf?arnumber=9995308
Reference22 articles.
1. Single-cell genome sequencing: current state of the science
2. Applications of Single-Cell DNA Sequencing
3. OncoNEM: inferring tumor evolution from single-cell sequencing data
4. SPhyR: tumor phylogeny estimation from single-cell sequencing data under loss and error
5. SiCloneFit: Bayesian inference of population structure, genotype, and phylogeny of tumor clones from single-cell genome sequencing data
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