Author

Melanie L. Bailey

BC Cancer AgencyORCID 0000-0001-6300-0436Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:imputation· 1 Approach:statistical model· 1

Frequent Co-Authors

Arpa EbrahimiiD· 2 shared Claudia S. MaieriD· 2 shared Huan ZhongiD· 2 shared Jason C. RogalskiiD· 2 shared Leonard J. FosteriD· 2 shared Marco A. MarraiD· 2 shared Rachel Wong· 2 shared Shuxin ChiiD· 2 shared

Activity by Year

2026-2026 · peak 2/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

2 shared papersBioinformatics

Arpa EbrahimiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 21, 2026

Recovering biological structure in sparse single-cell proteomics with GIRAFI

Huan Zhong, Shuxin Chi, Rachel Wong…·Xin Tang

GIRAFI improves sparse single-cell proteomics by imputing missing values and revealing cell states using graph-informed statistical learning, outperforming existing methods and recovering biological structure.

DOI 10.64898/2026.05.18.726081

proteomicsstatistical model

𝕏 PostBluesky

BiochemistryJournal of Proteome ResearchPeer-reviewedMay 19, 2026

Bridging Simplicity and Depth in Single-Cell Proteomics: A Cost-Effective Workflow and Expanded Framework for Data Evaluation

Shuxin Chi, Jason C. Rogalski, Huan Zhong…·Leonard J. Foster

The paper introduces a cost-effective single-cell proteomics workflow and a data evaluation framework to improve data quality and biological interpretability.

2 citations

proteomicsexperimental assay

𝕏 PostBluesky