Author

Annabel Large

University of California, BerkeleyORCID 0009-0003-4122-2259Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein sequence· 1 Assay:proteomics· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Ian H HolmesiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 4, 2026

Variational inference in coupled models of amino acid substitution

Annabel Large, Ian H Holmes

The paper develops variational inference methods for amino acid coevolution models, showing improved efficiency and accuracy over existing approaches.

DOI 10.64898/2026.05.16.725674

proteomicsvariational autoencoder

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 5, 2026

Nested birth-death processes are competitive with parameter-heavy neural networks as time-dependent models of protein evolution

Annabel Large, Ian H Holmes

The paper compares nested birth-death processes with neural networks for modeling protein evolution, finding the former more parameter-efficient and competitive.

DOI 10.64898/2026.02.02.702952

protein sequencestatistical model

𝕏 PostBluesky