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adabmDCA: adaptive Boltzmann machine learning for biological sequences
BACKGROUND: Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families. They are parametrized in terms of local biases accounting for residue conservation, and pairwise terms to model epis...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555268/ https://www.ncbi.nlm.nih.gov/pubmed/34715775 http://dx.doi.org/10.1186/s12859-021-04441-9 |