Predicting L-PART1 exon using deep learning

Authors

  • Merouane Elazami Elhassani 1. IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM) 2. ATOS Montpellier, immeuble Archimède, Hall B – 396 rue du Mas de Verchant, 34000 Montpellie
  • Loic Maisonnasse ATOS Montpellier, immeuble Archimède, Hall B – 396 rue du Mas de Verchant, 34000 Montpellier
  • Antoine Olgiati ATOS Montpellier, immeuble Archimède, Hall B – 396 rue du Mas de Verchant, 34000 Montpellier
  • Jérôme REY 2ATOS Montpellier, immeuble Archimède, Hall B – 396 rue du Mas de Verchant, 34000 Montpellier
  • Veronique Giudicelli IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM)
  • Patrice Duroux IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM)
  • Sofia Kossida IMGT®, The International ImMunoGeneTics Information System®, Centre National de la Recherche Scientifique (CNRS), Institut de Génétique Humaine (IGH), Université de Montpellier (UM)

DOI:

https://doi.org/10.14806/ej.26.A.957

Keywords:

Immunoglobulins, deep learning,
EJ 26.A

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Published

2021-07-08

Issue

Vol. 26: Supplement A

Section

Oral Presentations

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