Author

Simona Cristea

Dana-Farber Cancer InstituteORCID 0009-0003-1276-186XUnclaimed ORCID profile · follow to get notified of new preprints

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Simona Cristea1 paper

Biology Disciplines

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Bioinformatics· 2

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Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Approach:large language model· 1 Research Focus:trajectory inference· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Runzi TaniD· 2 shared Xi WangiD· 2 shared Bo WangiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Runzi TanORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 14, 2026

evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

Xi Wang, Runzi Tan, Simona Cristea

evoCancerGPT generates cancer progression patterns using transfer learning on single-cell RNA sequencing data, outperforming baselines in low-context scenarios.

DOI 10.64898/2026.02.12.705621

𝕏 PostBluesky

BioinformaticsbioRxivPreprintJun 17, 2025

Biological Reasoning with Reinforcement Learning through Natural Language Enables Generalizable Zero-Shot Cell Type Annotations

Xi Wang, Runzi Tan, Bo Wang, Simona Cristea

This paper uses a large language model to perform zero-shot cell type annotations on scRNA-seq data, showing improved performance over existing models and providing interpretable biological rationales.

1 citation

scRNA-seqlarge language model

𝕏 PostBluesky