Author

Jianhua Hu

Columbia UniversityORCID 0000-0002-3306-6722Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Baiming ZouiD· 2 shared Fei ZouiD· 2 shared Xinlei MiiD· 2 shared Di WuiD· 1 shared James G. XenakisiD· 1 shared Shiyu Wan· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersBioinformatics

Baiming ZouORCID

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2 papers

Recent·Most cited

A Deep Neural Network Two-part Model and Feature Importance Test for Semi-continuous Data

Baiming Zou, Xinlei Mi, Shiyu Wan, Di Wu, James G. Xenakis, Jianhua Hu, Fei Zou

This paper introduces a deep neural network-based two-part model for semi-continuous data and demonstrates its improved performance over existing methods.

The Annals of Applied Statistics · May 28, 2025Peer-reviewedBioinformatics

Permutation-based Identification of Important Biomarkers for Complex Diseases via Black-box Models

Xinlei Mi, Baiming Zou, Fei Zou, Jianhua Hu

This paper introduces PermFIT, a permutation-based method to assess feature importance in black-box models, showing it improves prediction accuracy and identifies biomarkers in cancer and BMI data.

Nature Communications · May 21, 2021Peer-reviewedBioinformatics