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

Department of Biochemistry and Molecular Biology

Research output: Contribution to journal › Article › Research › peer-review

8 Citations (Scopus)

Original language	English
Journal	Bioinformatics
DOIs	https://doi.org/10.1093/bioinformatics/btab687
Publication status	Published - 7 Dec 2021

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10.1093/bioinformatics/btab687

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

Cite this

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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 -