Author

Tianchuan Gao

Indiana University Indianapolis

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

Biology Disciplines

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Neuroscience· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Research Focus:trajectory inference· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:Hi-C· 1

Frequent Co-Authors

Jingwen YaniD· 3 shared Andrew J. SaykiniD· 2 shared Kwangsik T. NhoiD· 2 shared Yurika Upadhyaya· 2 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Kwangmoon ParkiD· 1 shared Mingzhao TongiD· 1 shared Shiaofen FangiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersNeuroscience

Jingwen YanORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Divergent amyloid trajectories distinguish normal aging from Alzheimer's disease progression

Mingzhao Tong, Tianchuan Gao, Yurika Upadhyaya, Kwangsik T. Nho, Shiaofen Fang, Andrew J. Saykin, Jingwen Yan, Alzheimer’s Disease Neuroimaging Initiative

This paper models Alzheimer's disease progression as a deviation from aging using longitudinal amyloid PET data and a self-supervised trajectory-learning framework, revealing distinct trajectories in early-stage aging and AD.

bioRxiv · Sep 14, 2026 · PreprintNeuroscience

Cross-Regional Trajectory Analysis Reveals Distinct Temporal Progression of Shared Proteomic Programs in Alzheimer's Disease

Tianchuan Gao, Yurika Upadhyaya, Yanling Pan, Kwangsik T. Nho, Andrew J. Saykin, Jingwen Yan

The paper analyzes proteomic trajectories in Alzheimer's disease to show distinct temporal progression of shared molecular programs across brain regions.

bioRxiv · Aug 25, 2026 · PreprintNeuroscience

MINTsC learns multi-way chromatin interactions from single cell high throughput chromatin conformation data

Kwangmoon Park, Tianchuan Gao, Jingwen Yan, Sündüz Keleş

MINTsC identifies multi-way chromatin interactions from scHi-C data, revealing gene regulation by multiple enhancers and reducing multiple-testing burden in molecular QTL studies.

Nature Communications · Jun 2, 2026Peer-reviewedGenomics