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Application of information theoretical approaches to assess diversity and similarity in single-cell transcriptomics

  • Published:2020 Issue: Volume:18 Page:1830-1837
  • ISSN:2001-0370
  • Container-title:Computational and Structural Biotechnology Journal
  • language:en
  • Short-container-title:Computational and Structural Biotechnology Journal

Author:

Seweryn Michal T.,Pietrzak Maciej,Ma Qin

Funder

National Institutes of Health

National Institute of General Medical Sciences

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference46 articles.

1. Categorical Data Analysis;Agresti,2011

2. F. Ayed, M. Battiston, F. Camerlenghi, S. Favaro. On consistent estimation of the missing mass, 2018.

3. Commonality despite exceptional diversity in the baseline human antibody repertoire;Briney;Nature,2019

4. Information theoretic approaches for inference of biological networks from continuous-valued data;Budden;BMC Syst. Biol.,2016

5. A cosine similarity-based method to infer variability of chromatin accessibility at the single-cell level;Cai;Front. Genetics,2018
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