Author

Xinnan Dai

Michigan State University

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

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:scRNA-seq· 2 Research Focus:clustering· 1 Approach:diffusion model· 1 Research Focus:dimensionality reduction· 1 Approach:graph neural network· 1 Organism:human· 1 Approach:large language model· 1

Frequent Co-Authors

Hongzhi WeniD· 2 shared Jiayuan DingiD· 2 shared Jiliang TangiD· 2 shared Wenzhuo TangiD· 2 shared Yuying XieiD· 2 shared Aakansha RaiiD· 1 shared Ádám Misák· 1 shared Akash Gosain· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersBioinformatics

Hongzhi WenORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models

Wenzhuo Tang, Renming Liu, Hongzhi Wen, Xinnan Dai, Jiayuan Ding, Hang Li, Wenqi Fan, Yuying Xie, Jiliang Tang

This paper introduces a general single-cell analysis framework using conditional diffusion models, showing competitive performance across tasks with added flexibility via prior information.

bioRxiv · Oct 13, 2023 · PreprintBioinformatics

CellPLM: Pre-training of Cell Language Model Beyond Single Cells

Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang

Treating cells as tokens and tissues as sentences, with spatial transcriptomics added during pre-training, gives a single-cell foundation model the authors report outperforms existing models and runs far faster.

bioRxiv · Oct 3, 2023 · PreprintBioinformatics

Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd

Attila Gábor, Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo, Wencai Cao, He Shen, Thomas Von Yu, Verena Chung, Bernd Bodenmiller, Julio Sáez-Rodríguez, Augustinas Prusokas, Alidivinas Prusokas, Renata Retkutė, Anand Rajasekar, , Mingyu Lee

The paper organizes a DREAM challenge to benchmark predictive models of single-cell signaling using mass cytometry data from breast cancer cell lines.

Molecular Systems Biology · Oct 1, 2021Peer-reviewedBioinformatics