Work

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

Year: 2026

Type: article

Source: Nature Methods

DOI: 10.1038/s41592-026-03120-y

Authors: Alan DenAdel, Madeline Hughes, Akshaya Thoutam, Anay Gupta, Andrew W. Navia, Nicolo Fusi, Srivatsan Raghavan, Peter S. Winter, Ava P. Amini, Lorin Crawford

Institutions: Brown University, Microsoft Research New England (United States), Broad Institute, Georgia Institute of Technology, Brigham and Women's Hospital, Harvard University, Dana-Farber Cancer Institute, Microsoft (United States)

Language: English

Topic: Single-cell and spatial transcriptomics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: David and Lucile Packard Foundation, National Cancer Institute

Award: Regulation and targeting of tumor cell states and plasticity in pancreatic cancer

OpenAlex ID: W4405966441

FWCI: 35.05

Cites: 40

Cited by: 29

Related to: 10