Author

Jianying Li

The Ohio State 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

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1

Frequent Co-Authors

Anthony J. SnyderiD· 1 shared Chi ZhangiD· 1 shared David Paul CarboneiD· 1 shared Dong He XuiD· 1 shared Gang XiniD· 1 shared Guangyu WangiD· 1 shared Hu Chen· 1 shared Jiacheng JiniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

Anthony J. SnyderORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer

Xiaoying Wang, Maoteng Duan, Anthony J. Snyder, Po‐Lan Su, Jianying Li, Jordan Edward Krull, Jiacheng Jin, Yuhan Sun, Hu Chen, Weidong Wu, Weiqing Chen, Kai He, Chi Zhang, Sha Cao, Jing Zhao, , Qin Ma

This paper introduces EmitGCL, a deep-learning framework that predicts future metastasis in cancer with high accuracy, identifies biomarkers, and validates therapeutic targets.

Nature Communications · Aug 1, 2026Peer-reviewedBioinformatics