Sotabase

Career

· PhD Student, University of California, Berkeley2019–

Publications (11)

Learning inverse folding from millions of predicted structures
bioRxiv · 2022
515
cited
Learning protein fitness models from evolutionary and assay-labeled data
Nature Biotechnology · 2022
183
cited
Combining evolutionary and assay-labelled data for protein fitness prediction
bioRxiv · 2021
27
cited
Generative models for protein structures and sequences
Nature Biotechnology · 2024
24
cited
Learning to (Learn at Test Time)
arXiv.org · 2023
11
cited
Nanopore callers for epigenetics from limited supervised data
bioRxiv · 2021
5
cited
GENTANGLE: integrated computational design of gene entanglements
bioRxiv · 2023
2
cited
Effective training of nanopore callers for epigenetic marks with limited labelled data
Open Biology · 2024
1
cited
Learning antibody sequence constraints from allelic inclusion
bioRxiv · 2024
1
cited
Learning antibody sequence constraints from allelic inclusion.
Cell Systems · 2025
Nanopore Methylation Calling from Limited Training Data
2022
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Chloe Hsu | Researcher Profile | Sotabase | Sotabase