Amini, Ava P.
Microsoft Research New England (United States)
6 papers on CoChatORCID 0000-0002-8601-6040
Most cited papers
- Verified
Protein structure generation via folding diffusion
Wu, K. E., Yang, K. K., Berg, R. V. D., Zou, J. Y., Lu, A. X., & Amini, A. P. (2022) · arXiv
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 193
- Verified
Protein generation with evolutionary diffusion: sequence is all you need
Alamdari, S., Thakkar, N., van den Berg, R., Tenenholtz, N., Strome, R., Moses, A. M., Lu, A. X., Fusi, N., Amini, A. P., & Yang, K. K. (2023) · eLife
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 154
- Verified
Zero-shot evaluation reveals limitations of single-cell foundation models
Kedzierska, K. Z., Crawford, L., Amini, A. P., & Lu, A. X. (2025) · Genome Biology
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 109
- Verified
Assessing the limits of zero-shot foundation models in single-cell biology
Kedzierska, K. Z., Crawford, L., Amini, A. P., & Lu, A. X. (2023) · bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 61
- Verified
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Li, F.-Z., Amini, A. P., Yue, Y., Yang, K. K., & Lu, A. X. (2024) · bioRxiv (Cold Spring Harbor Laboratory)
Machine Learning in BioinformaticsProtein Structure and Dynamics
Cited by 51
- Verified
Deeper evaluation of a single-cell foundation model
Boiarsky, R., Singh, N. M., Buendia, A., Amini, A. P., Getz, G., & Sontag, D. (2024) · Nature Machine Intelligence
Single-cell and spatial transcriptomicsGene expression and cancer classification
Cited by 25
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