Author

Zhihan Zhou

Northwestern UniversityORCID 0000-0002-1473-9071Unclaimed ORCID profile · follow to get notified of new preprints

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Zhihan Zhou2 papers · Northwestern University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Andrei Stecca SteindorffiD· 1 shared Chunyu MaiD· 1 shared David KoslickiiD· 1 shared Feng CheniD· 1 shared Fengchen LiuiD· 1 shared Gefei LiuiD· 1 shared Han LiuiD· 1 shared Han LiuiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Andrei Stecca SteindorffORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 30, 2025

Uncovering the Genomic Manifold via Scalable Learning from the Global Microbiome

Weimin Wu, Zhihan Zhou, Robert W. Riley…·Zhong Wang

The paper introduces GenomeOcean, a large-scale generative model trained on metagenomic data, to explore the genomic manifold hypothesis and demonstrates its alignment with another model.

15 citations

metagenomicsdeep learning

𝕏 PostBluesky

BioinformaticsGigaSciencePeer-reviewedDec 28, 2022

KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description

Chunyu Ma, Zhihan Zhou, Han Liu, David Koslicki

KGML-xDTD predicts drug-disease treatments and explains mechanisms via knowledge graph paths, achieving state-of-the-art results in drug repurposing and MOA recapitulation.

39 citationstop 5%

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky