Author

Jianfeng Feng

Fudan University

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Biology Disciplines

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Genetic & Genomic Medicine· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Andreas HeinziD· 2 shared Günter SchumanniD· 2 shared Sylvane DesrivièresiD· 2 shared Weikang GongiD· 2 shared Antoine GrigisiD· 1 shared Arun L.W. BokdeiD· 1 shared Bangsheng Wu· 1 shared Chao Xie· 1 shared

Activity by Year

2020-2026 · peak 1/yr

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10 top collaborators · 29 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Andreas HeinzORCID

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3 papers

Recent·Most cited

Rare-variant risk scores complement common-variant polygenic scores for disease risk prediction and stratification

Menghan Qin, Bangsheng Wu, Liu Yang, Wei Cheng, Jianfeng Feng, Jintai Yu, Tian Ge, Weikang Gong

This paper develops rare-variant polygenic risk scores (rvPRSs) using whole-genome sequencing data from the UK Biobank, showing they improve disease risk stratification and biological interpretability beyond common-variant PRSs.

medRxiv · Jun 29, 2026 · PreprintGenetic & Genomic Medicine

Uncovering Multi-Omics Profiles of Population Heterogeneity: A Cluster-Based Bayesian Approach

Runye Shi, Ziyang Xiong, Tobias Banaschewski, Gareth J. Barker, Arun L.W. Bokde, Herta Flor, Hugh Garavan, Penny Anne Gowland, Antoine Grigis, Andreas Heinz, Jean‐Luc Martinot, Marie‐Laure Paillère Martinot, Eric Artiges A, Frauke Nees, Dimitri Papadopoulos Orfanos, , Jianfeng Feng

MOCHA identifies latent population subgroups with distinct genetic effects from multi-omics data, revealing two neurodevelopmental clusters linked to adolescent inhibitory control.

medRxiv · Dec 20, 2025 · PreprintGenetic & Genomic Medicine

Assessing Overall Reproducibility for Large-scale High-throughput MRI-based Association Studies

Zeyu Jiao, Yinglei Lai, Jujiao Kang, Weikang Gong, Liang Ma, Tianye Jia, Chao Xie, Wei Cheng, Andreas Heinz, Sylvane Desrivières, Günter Schumann, Fengzhu Sun, Jianfeng Feng

This study introduces an overall reproducibility index for MRI-based association studies and evaluates its performance across multiple datasets, showing that sample size and experimental factors influence reproducibility.

bioRxiv · Aug 18, 2020 · PreprintNeuroscience