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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...

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Detalles Bibliográficos
Autores principales: Muntoni, Anna Paola, Pagnani, Andrea, Weigt, Martin, Zamponi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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