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Flow cytometry analyses and bioinformatics: Interest in new softwares to optimize novel technologies and to favor the emergence of innovative concepts in cell research
Author(s) -
Lizard Gérard
Publication year - 2007
Publication title -
cytometry part a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.316
H-Index - 90
eISSN - 1552-4930
pISSN - 1552-4922
DOI - 10.1002/cyto.a.20444
Subject(s) - computer science , identification (biology) , cytometry , flow cytometry , cluster analysis , data science , mass cytometry , data mining , computational biology , artificial intelligence , biology , immunology , biochemistry , botany , gene , phenotype
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