Effective Clustering for Single Cell Sequencing Cancer Data-Reference-Cited by-同舟云学术

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Effective Clustering for Single Cell Sequencing Cancer Data

Published:2021-11 Issue:11 Volume:25 Page:4068-4078
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ciccolella Simone,Patterson Murray^ORCID,Bonizzoni Paola,Della Vedova Gianluca

Funder

Department of Computer Science Georgia State University

the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant

Universit degli Studi di Milano- Bicocca

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/9605141/09435069.pdf?arnumber=9435069

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. bmVAE: a variational autoencoder method for clustering single-cell mutation data;Bioinformatics;2022-12-07

2. A parametric model for clustering single-cell mutation data;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

3. SCClone: Accurate Clustering of Tumor Single-Cell DNA Sequencing Data;Frontiers in Genetics;2022-01-27

4. AMC: accurate mutation clustering from single-cell DNA sequencing data;Bioinformatics;2021-12-24

5. From Alpha to Zeta: Identifying Variants and Subtypes of SARS-CoV-2 Via Clustering;Journal of Computational Biology;2021-11-01

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