Author

Yixin Chen

Washington University in St. Louis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 5

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 3 Research Focus:database / resource· 2 Approach:deep learning· 2 Approach:large language model· 2 Assay:scRNA-seq· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Fuhai LiiD· 5 shared Michael A. ProvinceiD· 5 shared Philip PayneiD· 5 shared Di HuangiD· 4 shared Guangfu LiiD· 3 shared Heming ZhangiD· 3 shared Tianqi XuiD· 3 shared Carlos CruchagaiD· 2 shared

Activity by Year

2024-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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5 shared papersBioinformatics

Fuhai LiORCID

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Author profile →

5 papers

Recent·Most cited

CellTosg2Sequence: A Unified Text-Omics-Signaling-Graph Large Language Model for Single-Cell Analysis

Weihang Chen, Mingrui Ye, Tianqi Xu, Di Huang, Heming Zhang, Hao Li, Wenyu Li, Yixin Chen, Michael A. Province, Philip Payne, Fuhai Li

CellTosg2Sequence integrates biomedical text and signaling graphs into a language model for single-cell analysis, improving performance over existing models.

bioRxiv · Jun 22, 2026 · PreprintBioinformatics

BioMedGraphica: An All-in-One Platform for Joint Textual Biomedical Prior Knowledge and Numeric Graph Generation

Heming Zhang, S. Liang, Tim Xu, Weiwei Li, Di Huang, Yuhan Dong, Guangfu Li, J. Philip Miller, S. Peter Goedegebuure, Marco Sardiello, Jonathan D. Cooper, William Buchser, PATRICIA DICKSON, Ryan Courtney Fields, Carlos Cruchaga, , Fuhai Li

BioMedGraphica integrates biomedical knowledge into a unified graph and introduces a Textual-Numeric Graph structure for multi-omics analysis.

Bioinformatics · Jun 1, 2026Peer-reviewedBioinformatics

Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery

ZIXI XU, Weihang Chen, Wuyu Ren, Tianqi Xu, Somadina Amaechin, Raad Khan, Yixin Chen, Michael A. Province, Philip Payne, Fuhai Li

This paper introduces a framework combining large language models with omics data analysis to prioritize disease targets and drug strategies, validated in Alzheimer's and pancreatic cancer.

bioRxiv · May 23, 2026 · PreprintBioinformatics

OmniCellAgent: An AI Scientist for Omic-Driven Scientific Discovery

Di Huang, Hao Li, Wenyu Li, Heming Zhang, Tianqi Xu, Yifei Lu, Kaiwen Fang, Zixi Xu, Justin Chen, Patricia Dickson, Marco Sardiello, William Buchser, Jonathan D. Cooper, Carlos Cruchaga, Pirooz Eghtesady, , Fuhai Li

OmniCellAgent autonomously retrieves and analyzes scRNA-seq datasets to generate structured reports and hypotheses across disease settings.

bioRxiv · Jul 31, 2025 · PreprintBioinformatics

mosGraphGPT: a foundation model for multi-omic signaling graphs using generative AI

Heming Zhang, Di Huang, Emily Chen, Dekang Cao, Tianma Xu, Ben Dizdar, Guangfu Li, Yixin Chen, Philip Payne, Michael A. Province, Fuhai Li

mosGraphGPT is a foundation model for multi-omic signaling graphs trained on cancer data and fine-tuned for Alzheimer's Disease, improving classification accuracy and interpretability.

bioRxiv · Aug 1, 2024 · PreprintBioinformatics