
FaDA: A web application for regular laboratory data analyses
Author(s) -
Richard Danger,
Quentin Moiteaux,
Yodit Feseha,
Estelle Geffard,
Gérard Ramstein,
Sophie Brouard
Publication year - 2021
Publication title -
plos one
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0261083
Subject(s) - computer science , r package , visualization , principal component analysis , sample (material) , nonparametric statistics , data visualization , data mining , interface (matter) , statistics , artificial intelligence , operating system , mathematics , chemistry , computational science , bubble , chromatography , maximum bubble pressure method