PUBLICACIÓN
Identification of relevant phytochemical constituents for characterization and authentication of tomatoes by General Linear Model linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network Models (ANNs)
Suarez M.H., Dopazo G.A., Lopez D.L., Espinosa F.
2015 PLoS One
Medicine (miscellaneous) (Q1), Agricultural and Biological Sciences (miscellaneous) (Q1), Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1)
JCR: 3.057
SJR: 1.427
CITAS
15
DOI
10.1371/journal.pone.0128566
EID
2-s2.0-84953865142
EISSN
1932-6203
BIBTEX
@article{Hern_ndez_Su_rez_2015,doi = {10.1371/journal.pone.0128566},url = {https://doi.org/10.1371%2Fjournal.pone.0128566},year = 2015,month = {jun},publisher = {Public Library of Science ({PLoS})},volume = {10},number = {6},pages = {e0128566},author = {Marcos Hern{\'{a}}ndez Su{\'{a}}rez and Gonzalo Astray Dopazo and Dina Larios L{\'{o}}pez and Francisco Espinosa},editor = {Hiroshi Ezura},title = {Identification of Relevant Phytochemical Constituents for Characterization and Authentication of Tomatoes by General Linear Model Linked to Automatic Interaction Detection ({GLM}-{AID}) and Artificial Neural Network Models ({ANNs})},journal = {{PLOS} {ONE}}}
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