Detecting sequence signals in targeting peptides using deep learning

In bioinformatics, machine learning methods have been used to predict features embedded in the sequences. In contrast to what is generally assumed, machine learning approaches can also provide new insights into the underlying biology. Here, we demonstrate this by presenting TargetP 2.0, a novel stat...

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Detalles Bibliográficos
Autores principales: Almagro Armenteros, Jose Juan, Salvatore, Marco, Emanuelsson, Olof, Winther, Ole, von Heijne, Gunnar, Elofsson, Arne, Nielsen, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2019
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769257/
https://www.ncbi.nlm.nih.gov/pubmed/31570514
http://dx.doi.org/10.26508/lsa.201900429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6769257/
https://www.ncbi.nlm.nih.gov/pubmed/31570514
http://dx.doi.org/10.26508/lsa.201900429

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