Author

Zhihan Zhou

Northwestern University

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· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:whole-genome sequencing· 2 Approach:contrastive learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Han Liu· 2 shared Pallavi SuranaiD· 2 shared Pratik DuttaiD· 2 shared Ramana V. DavuluriiD· 2 shared Rekha SathianiD· 2 shared Jack Vaska· 1 shared Max Chao· 1 shared Nimisha Papineni· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 26 mutual co-author links

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2 shared papersBioinformatics

Han Liu

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2 papers

Recent·Most cited

TSProm: Deciphering the Genomic Context of Tissue Specificity

Pallavi Surana, Pratik Dutta, Nimisha Papineni, Rekha Sathian, Zhihan Zhou, Han Liu, Ramana V. Davuluri

TSProm identifies tissue-specific gene regulatory elements by training specialized DNA models and using explainable AI to analyze promoter sequences in human tissues.

NAR Genomics and Bioinformatics · Mar 27, 2026Peer-reviewedBioinformatics

HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host Tropism

Pratik Dutta, Jack Vaska, Pallavi Surana, Rekha Sathian, Max Chao, Zhihan Zhou, Han Liu, Ramana V. Davuluri

HViLM is a foundation model for viral genomics that predicts pathogenicity, transmissibility, and host tropism across multiple viral families with high accuracy.

bioRxiv · Mar 20, 2026 · PreprintBioinformatics