LAFA introduces a persistent server for continuous, containerized benchmarking of protein function prediction methods as ground-truth annotations evolve over time.
Nucleic acids research , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
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MS-RCGR is a reversible multi-scale chaos game representation that enhances biological sequence classification when used alone or combined with protein language model embeddings.
citing papers explorer
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LAFA: A Framework for Reproducible Longitudinal Assessment of Protein Function Annotation Models
LAFA introduces a persistent server for continuous, containerized benchmarking of protein function prediction methods as ground-truth annotations evolve over time.
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Multi-Scale Reversible Chaos Game Representation: A Unified Framework for Sequence Classification
MS-RCGR is a reversible multi-scale chaos game representation that enhances biological sequence classification when used alone or combined with protein language model embeddings.