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Biplot of the PCA analysis with all ten variables for all t..:

Gabriel Z. Espinoza (10047870) ; Rafaela M. Angelo (10047873) ; Patricia R. Oliveira (10047876).
https://figshare.com/articles/figure/Biplot_of_the_PCA_analysis_with_all_ten_variables_for_all_training_molecules_loadings_are_out_of_scale_/13659186. , 2021

Link: https://doi.org/10.1371/journal.pone.0246126.g010

RT Journal
T1 <Title>Biplot of the PCA analysis with all ten variables for all training molecules (loadings are out of scale)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_13659186&Exemplar=1&LAN=DE
				
A1 Gabriel Z. Espinoza (10047870)
A1 Rafaela M. Angelo (10047873)
A1 Patricia R. Oliveira (10047876)
A1 Kathia M. Honorio (10047879)
YR 2021
K1 Biotechnology
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Chemical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 inhibition Computational methods
K1 network model
K1 forecast model
K1 Random Forest
K1 generalization power
K1 performance
K1 Permutation Importance
K1 Support Vector Regression
K1 Deep Learning models
K1 pIC 50
K1 drug design
K1 chemical descriptors
K1 ALK
K1 square error
K1 validation procedures
K1 inhibitor
JF https://figshare.com/articles/figure/Biplot_of_the_PCA_analysis_with_all_ten_variables_for_all_training_molecules_loadings_are_out_of_scale_/13659186
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0246126.g010
DO https://doi.org/10.1371/journal.pone.0246126.g010
SF ELIB - SuUB Bremen

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