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Supervised Cytometry
Author(s) -
Tárnok Attila
Publication year - 2019
Publication title -
cytometry part a
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.23894
Subject(s) - computer science , cytometry , artificial intelligence , relevance (law) , data science , flow cytometry , biology , law , genetics , political science