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)

Logo Open Access

ACCEDER A LA PUBLICACIÓN: Scopus

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}}}


AUTORES DE LA UEX