Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers-Reference-Cited by-同舟云学术

Joint Clustering of Single-Cell Sequencing and Fluorescence In Situ Hybridization Data for Reconstructing Clonal Heterogeneity in Cancers

Published:2021-11-01 Issue:11 Volume:28 Page:1035-1051
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Fu Xuecong¹,Lei Haoyun²,Tao Yifeng²^ORCID,Heselmeyer-haddad Kerstin³,Torres Irianna³,Dean Michael⁴,Ried Thomas³,Schwartz Russell¹²^ORCID

Affiliation:

1. Department of Biological Sciences, and Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

2. Computational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

3. Genetics Branch, Cancer Genomics Section, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.

4. Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2021.0255

Reference33 articles.

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2. Assessing the significance of chromosomal aberrations in cancer: Methodology and application to glioma

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4. Inferring models of multiscale copy number evolution for single-tumor phylogenetics

5. Phylogenetic analysis of multiprobe fluorescence in situ hybridization data from tumor cell populations

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