CNN-PepPred: an open-source tool to create convolutional NN models for the discovery of patterns in peptide sets—application to peptide–MHC class II binding prediction

Valentin Junet; Xavier Daura

doi:10.1093/bioinformatics/btab687

CNN-PepPred: an open-source tool to create convolutional NN models for the discovery of patterns in peptide sets—application to peptide–MHC class II binding prediction

Valentin Junet, Xavier Daura

Departament de Bioquímica i de Biologia Molecular

Producció científica: Contribució a revista › Article › Recerca › Avaluat per experts

8 Cites (Scopus)

Idioma original	Anglès
Revista	Bioinformatics
DOIs	https://doi.org/10.1093/bioinformatics/btab687
Estat de la publicació	Publicada - 7 de des. 2021

Accés al document

10.1093/bioinformatics/btab687

https://ddd.uab.cat/record/303202

Com citar-ho

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title = "CNN-PepPred: an open-source tool to create convolutional NN models for the discovery of patterns in peptide sets—application to peptide–MHC class II binding prediction",

author = "Valentin Junet and Xavier Daura",

year = "2021",

month = dec,

day = "7",

doi = "10.1093/bioinformatics/btab687",

language = "English",

}

TY - JOUR

T1 - CNN-PepPred: an open-source tool to create convolutional NN models for the discovery of patterns in peptide sets—application to peptide–MHC class II binding prediction

AU - Junet, Valentin

AU - Daura, Xavier

PY - 2021/12/7

Y1 - 2021/12/7

U2 - 10.1093/bioinformatics/btab687

DO - 10.1093/bioinformatics/btab687

M3 - Article

SN - 1367-4803

JO - Bioinformatics

JF - Bioinformatics

ER -