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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |