SeqMaestro: From nucleotide sequences to biological hypotheses through interpretable machine learning
SeqMaestro is a machine learning framework that proposes biological hypotheses from nucleotide sequences using interpretable models using interpretable models to make interpretable sequence analysis accessible to researchers without requiring extensive programming or machine learning expertise.
Evgeny S. Saveliev, Krzysztof Kacprzyk, Charlotte Capitanchik et al.
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