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More accurate estimation of cell composition in bulk expression through robust integration of single-cell information
Author(s) -
Ali Karimnezhad
Publication year - 2022
Publication title -
bioinformatics advances
Language(s) - English
Resource type - Journals
ISSN - 2635-0041
DOI - 10.1093/bioadv/vbac049
Subject(s) - covariance , collinearity , univariate , computer science , expression (computer science) , rna seq , data mining , analysis of covariance , computational biology , algorithm , biological system , gene expression , mathematics , gene , multivariate statistics , transcriptome , biology , statistics , machine learning , genetics , programming language

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