Open AccessNovel Bayesian methodology for the analysis of single-cell RNA sequencing data.
Author(s) -
Michael Sekula
Publication year - 2020
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.18297/etd/3416
Subject(s) - cluster analysis , bayesian probability , overdispersion , flexibility (engineering) , expression (computer science) , rna seq , count data , computational biology , computer science , data mining , machine learning , gene , artificial intelligence , gene expression , biology , poisson distribution , mathematics , statistics , transcriptome , genetics , programming language
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