Author

Haoran Chen

Case Western Reserve University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 2 Biochemistry· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1

Frequent Co-Authors

Abbas ShirinifardiD· 1 shared Albert A. AntolíniD· 1 shared Alberto CalderoneiD· 1 shared Alicia AmadoziD· 1 shared Amin AllamiD· 1 shared Amir B. K. ForoushaniiD· 1 shared Anastasios DrosouiD· 1 shared André O. FalcãoiD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Abbas ShirinifardORCID

Author profile →

4 papers

Recent·Most cited

Crop-OCT: a Fully Integrated Imageomics Pipeline to Identify Regional and Focal Retinopathy in Murine Models

Danielle R. Little, Abbas Shirinifard, Marybeth S. Lupo, Chih-Hsuan Wu, Haoran Chen, Mellisa R. Clemons, Michael MacLean, Olivia J. Marola, Gareth R. Howell, Cai Li, Michael A. Dyer

Crop-OCT is an automated pipeline for analyzing OCT images to identify retinopathy in murine models, enabling the detection of regional and focal lesions across multiple diseases.

bioRxiv · Mar 2, 2026 · PreprintNeuroscience

Tracing Siderophore Precursors to Primary Metabolism for Ecological Applications

Ruolin He, Jiazheng Xu, Jiqi Shao, Yanzhao Wu, Shizheng Tian, Zihao Yang, Zhiyuan Li, Haoran Chen, Long Qian, Zhong Wei, Shaohua Gu

The paper develops a framework to trace siderophore biosynthesis to primary metabolism and applies it to identify metabolic differences between beneficial and pathogenic bacteria.

bioRxiv · Apr 30, 2025 · PreprintBiochemistry

A cancer pharmacogenomic screen powering crowd-sourced advancement of drug combination prediction

Michael P. Menden, Dennis Y.Q. Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan, Thomas Von Yu, Jaewoo Kang, Minji Jeon, Russell D. Wolfinger, Tin Nguyen, Mikhail Zaslavskiy, Jordi Abante, Bárbara Schmitz‐Abecassis, Nanne Aben, , Denis Fourches

The paper presents a large-scale cancer pharmacogenomic screen with 11,576 experiments on 910 drug combinations across 85 cancer cell lines, enabling crowd-sourced prediction of synergistic drug pairs and biomarkers.

Nature Communications · Jun 17, 2019Peer-reviewedBioinformatics

Predicting Pathogenicity of Missense Variants with Weakly Supervised Regression

Yue Cao, Yuanfei Sun, Mostafa Karimi, Haoran Chen, Oluwaseyi Moronfoye, Yang Shen

This paper introduces a weakly supervised regression model to predict pathogenicity of missense variants and infer molecular mechanisms from imprecise annotations.

Human Mutation · May 30, 2019Peer-reviewedBioinformatics