Author

Tianyi Liu

Columbia University Irving Medical Center

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

Click to filter author papers

Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Approach:simulation· 1

Frequent Co-Authors

Andrew Thomas DeWaniD· 1 shared Elnaz NaderiiD· 1 shared Fuping YouiD· 1 shared Gao T. WangiD· 1 shared Haocheng Wang· 1 shared Paul Livermore AueriD· 1 shared Suzanne M. LealiD· 1 shared Xiao Wang· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Andrew Thomas DeWanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Betrixaban Activates cGAS and ERVs to Promote Dual Nucleic-Sensing Antiviral Immunity

Xingyu Chen, Yang Zhao, Yunfei Xie, Tianyi Liu, Haocheng Wang, Xiao Wang, Xuefei Guo, Fuping You

This paper shows Betrixaban activates cGAS and ERVs to trigger antiviral immunity through dual pathways, suggesting its repurposing as a broad-spectrum antiviral.

EMBO Molecular Medicine · Mar 23, 2026Peer-reviewedImmunology

Rare-variant aggregate association analysis using imputed data is a powerful approach.

Tianyi Liu, Paul Livermore Auer, Gao T. Wang, Elnaz Naderi, Andrew Thomas DeWan, Suzanne M. Leal

The paper evaluates the power of rare variant aggregate association analysis using imputed data and finds that imputation can detect significant associations even for ultra-rare variants, though with reduced power compared to sequence data.

bioRxiv · Apr 17, 2025 · PreprintBioinformatics