Published April 18, 2025
| Version v1
Data paper
Open
Investigating the determinants of performance in machine learning for protein fitness prediction
Authors/Creators
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1.
Australian National University
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2.
ARC Centre of Excellence for Innovations in Peptide and Protein Science
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3.
University of New South Wales
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4.
ARC Centre of Excellence in Synthetic Biology
Description
Code for evaluating ML architectures on NK fitness landscapes, benchmarking interpolation, extrapolation, ablation, and positional extrapolation performance.
Files
nk-ml.zip
Files
(475.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:9af82dc8d2576d7a8ca565494c027866
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475.2 MB | Preview Download |
Additional details
Dates
- Submitted
-
2025-04-18
Software
- Repository URL
- https://github.com/RSCJacksonLab/nk-ml
- Programming language
- Python