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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Life Science Alliance LLC
2019
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| Materias: | |
| 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 |