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Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis
Machine learning (ML) is ubiquitous in bioinformatics, due to its versatility. One of the most crucial aspects to consider while training a ML model is to carefully select the optimal feature encoding for the problem at hand. Biophysical propensity scales are widely adopted in structural bioinformat...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858301/ https://www.ncbi.nlm.nih.gov/pubmed/31729443 http://dx.doi.org/10.1038/s41598-019-53324-w |