Method
Open Access
Detecting sequence signals in targeting peptides using deep learning
Jose Juan Almagro Armenteros, View ORCID ProfileMarco Salvatore, View ORCID ProfileOlof Emanuelsson, Ole Winther, View ORCID ProfileGunnar von Heijne, View ORCID ProfileArne Elofsson Correspondence email, View ORCID ProfileHenrik Nielsen Correspondence email
Jose Juan Almagro Armenteros
1Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, Kongen Lyngby, Denmark
Marco Salvatore
2Science for Life Laboratory, Solna, Sweden
3Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
Olof Emanuelsson
2Science for Life Laboratory, Solna, Sweden
4Department of Gene Technology, School of Engineering Sciences in Biotechnology, Chemistry and Health, KTH—Royal Institute of Technology, Stockholm, Sweden
Ole Winther
5DTU Compute, Technical University of Denmark, Kongen Lyngby, Denmark
6Computational and RNA Biology, University of Copenhagen, Copenhagen, Denmark
7Centre for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
Gunnar von Heijne
2Science for Life Laboratory, Solna, Sweden
3Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
Arne Elofsson
2Science for Life Laboratory, Solna, Sweden
3Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
Henrik Nielsen
1Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, Kongen Lyngby, Denmark
Published 30 September 2019. DOI: 10.26508/lsa.201900429
TargetP 2.0
Jose Juan Almagro Armenteros, Marco Salvatore, Olof Emanuelsson, Ole Winther, Gunnar von Heijne, Arne Elofsson, Henrik Nielsen
Life Science Alliance Sep 2019, 2 (5) e201900429; DOI: 10.26508/lsa.201900429
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Volume 2, No. 5
October 2019
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