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MVApp-Multivariate Analysis Application for Streamlined Data Analysis and Curation.
Julkowska, Magdalena M; Saade, Stephanie; Agarwal, Gaurav; Gao, Ge; Pailles, Yveline; Morton, Mitchell; Awlia, Mariam; Tester, Mark.
Affiliation
  • Julkowska MM; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia magalena.julkowska@kaust.edu.sa.
  • Saade S; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  • Agarwal G; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  • Gao G; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  • Pailles Y; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  • Morton M; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  • Awlia M; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  • Tester M; Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
Plant Physiol ; 180(3): 1261-1276, 2019 07.
Article de En | MEDLINE | ID: mdl-31061104

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse multifactorielle / Biologie informatique / Fouille de données / Analyse de données Langue: En Journal: Plant Physiol Année: 2019 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Analyse multifactorielle / Biologie informatique / Fouille de données / Analyse de données Langue: En Journal: Plant Physiol Année: 2019 Type de document: Article