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LOCK-GP Kernels Boost Protein Sequence-Fitness Predictions

KK

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Kevin K. Yang 楊凱筌@KevinKaichuangTECH

Combined views

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2 posts, first seen 2h ago

16 likes

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Flexible Kernels for Protein Property Prediction(arXiv.org)viaKevin K. Yang 楊凱筌

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Source Posts on X

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Kevin K. Yang 楊凱筌@KevinKaichuangTECH

Gaussian process kernels that encode evolutionary information and local linearity improve protein sequence-fitness predictions. https://x.com/KevinKaichuang/status/2075687872196177962/photo/1

Kevin K. Yang 楊凱筌@KevinKaichuangTECH

https://arxiv.org/abs/2606.11057

Gaussian process kernels that encode evolutionary information and local linearity improve protein sequence-fitness predictions. https://x.com/KevinKaichuang/status/2075687872196177962/photo/1

Kevin K. Yang 楊凱筌@KevinKaichuangTECH

https://arxiv.org/abs/2606.11057

2 comments

19 saves

Sentiment

Positive0%0%Negative

Guardrails removed spam, off-topic, unclear, or duplicate replies.

Useful Links

Flexible Kernels for Protein Property Prediction(arXiv.org)viaKevin K. Yang 楊凱筌

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Published answers will appear here.