Inference of Mutability Landscapes of Tumors from Single Cell Sequencing Data

Viachaslau Tsyvina, Alex Zelikovsky, Sagi Snir, Pavel Skums

Research output: Contribution to conferencePaperpeer-review


Original languageEnglish
StatePublished - 2020
EventRECOMB-Computational Cancer Biology (CCB) 2020 -
Duration: 8 May 2020 → …


ConferenceRECOMB-Computational Cancer Biology (CCB) 2020
Period8/05/20 → …

Bibliographical note

Funding Information:
PS and AZ were supported by National Institutes of Health, [grant number 1R01EB025022]. VT was supported by Georgia State University Molecular Basis of Disease fellowship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
© 2020 Tsyvina et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecology
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

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