Author

Xiaoyang Li

The University of Texas Health Science Center at HoustonORCID 0000-0001-8711-7567Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Xiaoyang Li1 paper · Tsinghua University

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Yulin DaiiD· 2 shared Andi LiuiD· 1 shared Brisa Simões FernandesiD· 1 shared Jingchun CheniD· 1 shared Kang‐Lin HsiehiD· 1 shared Patrick Glen PilieiD· 1 shared Xiangning CheniD· 1 shared Yan ChuiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 21 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

2 shared papersGenetic & Genomic Medicine

Yulin DaiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Genetic & Genomic MedicineAlzheimer s & DementiaPeer-reviewedOct 1, 2025

GRPa-PRS: A risk stratification method to identify genetically-regulated pathways in polygenic diseases

Xiaoyang Li, Brisa Simões Fernandes, Andi Liu…·Yulin Dai

GRPa-PRS identifies genetically-regulated pathways in polygenic diseases by stratifying individuals based on PRS and analyzing differential gene expression across risk strata.

4 citations

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 24, 2024

scEMB: Learning context representation of genes based on large-scale single-cell transcriptomics

Kang‐Lin Hsieh, Yan Chu, Xiaoyang Li…·Yulin Dai

scEMB is a transformer-based model that learns gene embeddings from single-cell transcriptomics data, outperforming existing models in tasks like clustering and cell type annotation.

5 citations

scRNA-seqdeep learning

𝕏 PostBluesky