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)
Marcos Hernández Suárez; Gonzalo Astray Dopazo; Dina Larios López; Francisco Espinosa; Hiroshi Ezura
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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