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20212025
most citedFine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction

11 citations · 12 across the 4 of their papers we have counts for

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cs.LG2025

Uncertainty-Guided Model Selection for Tabular Foundation Models in Biomolecule Efficacy Prediction

Jie Li, Andrew McCarthy, Zhizhuo Zhang +1

In-context learners like TabPFN are promising for biomolecule efficacy prediction, where established molecular feature sets and relevant experimental results can serve as powerful…

cs.LG2021

Epigenomic language models powered by Cerebras

Meredith V. Trotter, Cuong Q. Nguyen, Stephen Young +2

Large scale self-supervised pre-training of Transformer language models has advanced the field of Natural Language Processing and shown promise in cross-application to the biologic…