Author

Daniel W. Chan

Johns Hopkins UniversityORCID 0000-0002-6398-6597Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Hui ZhangiD· 2 shared Aatur Dilip SinghiiD· 1 shared Bai ZhangiD· 1 shared Christine Worthington· 1 shared Jongmin Jacob WooiD· 1 shared Katelyn Smith· 1 shared Li CheniD· 1 shared Michael SchnaubeltiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersCancer Biology

Hui ZhangORCID

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2 papers

Recent·Most cited

High-Sensitive Spatial Proteomics for Pancreatic Cancer Progression Analysis

Jongmin Jacob Woo, Zhenyu Sun, Yingwei Hu, Trung Hoàng, Christine Worthington, Katelyn Smith, Aatur Dilip Singhi, Randall E. Brand, Daniel W. Chan, Qing Kay Li, Ralph H. Hruban, Hui Zhang

This study develops a high-sensitivity spatial proteomics method, SP-Max, to analyze protein expression changes in pancreatic tissues from normal to cancerous states.

Analytical Chemistry · Feb 18, 2026Peer-reviewedCancer Biology

MS-PyCloud: An open-source, cloud computing-based pipeline for LC-MS/MS data analysis

Li Chen, Bai Zhang, Michael Schnaubelt, Punit Shah, Paul Aiyetan, Daniel W. Chan, Hui Zhang, Zhen Zhang

MS-PyCloud is an open-source cloud-based pipeline for LC-MS/MS data analysis that provides scalable, reproducible, and efficient processing of proteomics data.

bioRxiv · May 13, 2018 · PreprintBioinformatics