Author

Tianma Xu

Washington University in St. LouisORCID 0000-0002-9969-8976Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:multiome· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1

Frequent Co-Authors

Dekang Cao· 2 shared Emily Chen· 2 shared Fuhai LiiD· 2 shared Guangfu LiiD· 2 shared Michael A. ProvinceiD· 2 shared Philip PayneiD· 2 shared Ben Dizdar· 1 shared Di HuangiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersBioinformatics

Dekang Cao

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintAug 1, 2024

mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic data

Heming Zhang, Dekang Cao, Tianma Xu…·Fuhai Li

This study introduces mosGraphFlow, a graph AI model for analyzing multi-omic data to identify AD-associated biomarkers and signaling pathways, achieving high classification accuracy.

2 citations

humanmultiome

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 1, 2024

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

Heming Zhang, Di Huang, Emily Chen…·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.

11 citations

humanmultiome

𝕏 PostBluesky