Author

Heming Zhang

Washington University in St. LouisORCID 0009-0002-5962-4988Unclaimed 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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Approach:deep learning· 2 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:multiome· 1

Frequent Co-Authors

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

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersBioinformatics

Fuhai LiORCID

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2 papers

Recent·Most cited

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

BioinformaticsBMC BioinformaticsPeer-reviewedFeb 5, 2021

Investigate the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model

Jiarui Feng, Heming Zhang, Fuhai Li

The paper develops a deep learning model to analyze the relevance of cancer signaling pathways to patient survival across four cancer types.

33 citations

humanbulk RNA-seq

𝕏 PostBluesky