Active learning effectively identifies a minimal set of maximally informative and asymptotically performant cytotoxic structure–activity patterns in NCI-60 cell lines
Author(s) -
Takumi Nakano,
Shunichi Takeda,
J. Brown
Publication year - 2020
Publication title -
rsc medicinal chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.754
H-Index - 55
ISSN - 2632-8682
DOI - 10.1039/d0md00110d
Subject(s) - cytotoxic t cell , set (abstract data type) , computer science , computational biology , biology , mathematics , in vitro , genetics , programming language
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