Open AccessSingle-cell specific and interpretable machine learning models for sparse scChIP-seq data imputation
Author(s) -
Steffen Albrecht,
Tommaso Andreani,
Miguel A. AndradeNavarro,
Jean−Fred Fontaine
Publication year - 2022
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0270043
Subject(s) - imputation (statistics) , encode , computer science , computational biology , cluster analysis , artificial intelligence , chromatin immunoprecipitation , genomics , pattern recognition (psychology) , data mining , missing data , biology , machine learning , gene , genetics , gene expression , genome , promoter
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