Open AccessInferring cellular heterogeneity of associations from single cell genomics
Author(s) -
Maya Levy,
Amit Frishberg,
Irit GatViks
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa151
Subject(s) - pairwise comparison , computer science , scalability , population , niche , set (abstract data type) , association (psychology) , computational biology , biology , artificial intelligence , database , medicine , ecology , philosophy , environmental health , epistemology , programming language
Cell-to-cell variation has uncovered associations between cellular phenotypes. However, it remains challenging to address the cellular diversity of such associations.
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