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...

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Detalles Bibliográficos
Autores principales: Raimondi, Daniele, Orlando, Gabriele, Vranken, Wim F., Moreau, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
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

Internet

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

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