Author

A. Nydegger

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

Biology Disciplines

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Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Lundgren· 1 shared H. Boekweg· 1 shared K. Webber· 1 shared R. T. Kelly· 1 shared S. H. Payne· 1 shared S. M. Johnston· 1 shared T. Truong· 1 shared X. Xie· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperCell Biology

C. Lundgren

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1 paper

Recent·Most cited

Data-Dependent Acquisition with Precursor Coisolation Improves Proteome Coverage and Measurement Throughput for Label-Free Single-Cell Proteomics

T. Truong, S. M. Johnston, K. Webber, H. Boekweg, C. Lundgren, Y. Liang, A. Nydegger, X. Xie, S. H. Payne, R. T. Kelly

This paper introduces WWA, a data acquisition method that improves proteome coverage and throughput in single-cell proteomics by co-isolating and fragmenting additional precursors.

bioRxiv · Oct 18, 2022Cell Biology