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)

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ACCEDER A LA PUBLICACIÓN: Scopus

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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