Author

Hanwen Wang

Johns Hopkins UniversityORCID 0000-0001-5480-431XUnclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Hanwen Wang1 paper · Shenzhen Bay Laboratory

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Aleksander S. PopeliD· 3 shared Atul M. DeshpandeiD· 2 shared Elana Judith FertigiD· 2 shared Elizabeth M. JaffeeiD· 2 shared Theinmozhi ArulrajiD· 2 shared Cesar Augusto Santa-MariaiD· 1 shared Heber Lima da RochaiD· 1 shared Holly H. C. KimkoiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersSystems Biology

Aleksander S. PopelORCID

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3 papers

Recent·Most cited

BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedJul 14, 2026

Quantitative Calibration of a Spatial QSP Model Identifies Fibroblast Impact on HCC Immunotherapy

Shuming Zhang, Hanwen Wang, Yeonju Cho…·Atul M. Deshpande

The paper calibrates a spatial QSP model using CODEX data to predict TME states and identify biomarkers for HCC immunotherapy response.

2 citationstop 5%

humanspatial transcriptomics

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Systems BiologyProceedings of the National Academy of SciencesPeer-reviewedOct 28, 2024

Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade

Theinmozhi Arulraj, Hanwen Wang, Atul M. Deshpande…·Aleksander S. Popel

The paper uses virtual patient models to evaluate biomarkers for predicting response to PD-1 blockade in TNBC, finding that early on-treatment biomarkers and blood-based markers offer better performance.

18 citations

humanbulk RNA-seq

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Systems Biologynpj Precision OncologyPeer-reviewedJun 8, 2023

Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition

Hanwen Wang, Theinmozhi Arulraj, Holly H. C. Kimko, Aleksander S. Popel

The paper uses a QSP model to generate virtual patients for NSCLC and predicts response to PD-L1 inhibition using immunogenomic data.

32 citationstop 5%

humanbulk RNA-seq

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