Author

Xunde Wang

National Institutes of Health

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

Biology Disciplines

Click to filter author papers

Biochemistry· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Swee Lay TheiniD· 2 shared Aaron IssaianiD· 1 shared Amy L MooreiD· 1 shared Angelo D’AlessandroiD· 1 shared Anthony J. SaviolaiD· 1 shared Daniel ShrineriD· 1 shared Daniel StephensoniD· 1 shared Eldad A. HodiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 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 papersBiochemistry

Swee Lay TheinORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

A population-scale red blood cell proteome reveals genetically encoded aging clocks predictive of hemolysis and blood donor activity

Monika Dzieciątkowska, Aaron Issaian, Gregory R. Keele, Anthony J. Saviola, Daniel Stephenson, Shaun G. Bevers, Julie A. Reisz, Zachary B. Haiman, Travis G. Nemkov, Fang Fang, Amy L Moore, Xutao Deng, Mars Stone, Steven H Kleinman, Philip J. Norris, , Angelo D’Alessandro

This paper characterizes the RBC proteome across 13,091 donors, identifies genetic regulators of molecular aging, and shows that aging clocks predict hemolysis, transfusion outcomes, and donor activity.

bioRxiv · Mar 8, 2026 · PreprintBiochemistry

Random forest classifiers trained on simulated data enable accurate short read-based genotyping of structural variants in the alpha globin region at Chr16p13.3

Nancy Fisher Hansen, Xunde Wang, Mickias B. Tegegn, Zhi Liu, Mateus Henrique Gouveia, Gracelyn Hill, Jennifer Lin, Temiloluwa Okulosubo, Daniel Shriner, Swee Lay Thein, James C. Mullikin

The paper uses random forest classifiers trained on simulated data to accurately genotype structural variants in the alpha globin region, outperforming existing software in ancestry-specific allele frequency estimation.

bioRxiv · Nov 27, 2023 · PreprintBioinformatics