Ava P Soleimany

25PUBLICATIONS

86CO-AUTHORS

Deep learningBioinformatic methods developmentPharmaceutical delivery technologiesSemi- and unsupervised learningProteomics and metabolomics

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Publications (25)

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|Jun 09, 2026

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance.

|Jan 30, 2026

Improving atlas-scale single-cell annotation models with hierarchical cross-entropy loss.

Sebastiano Cultrera di Montesano, Davide D'Ascenzo, Srivatsan Raghavan

|Jan 06, 2026

Deep learning guided design of protease substrates.

Carmen Martin-Alonso, Sarah Alamdari, Tahoura S Samad

|Nov 24, 2025

Adaptive resampling for improved machine learning in imbalanced single-cell datasets.

Zeinab Navidi, Akshaya Thoutam, Madeline Hughes

|Nov 24, 2025

Evaluating the role of pre-training dataset size and diversity on single-cell foundation model performance.

Alan DenAdel, Madeline Hughes, Akshaya Thoutam

|Apr 15, 2025

ProtNote: a multimodal method for protein-function annotation.

Samir Char, Nathaniel Corley, Sarah Alamdari

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Frequent Collaborators

Sangeeta N Bhatia

Lorin Crawford

Srivatsan Raghavan

Peter S Winter

Kevin K Yang

Jesse D Kirkpatrick

S N Bhatia

Andrew W Navia

Alex K Shalek

Nicolo Fusi

Frequent Collaborators

Sangeeta N Bhatia

Lorin Crawford

Srivatsan Raghavan

Peter S Winter