Author

Bradley S. Evans

Donald Danforth Plant Science CenterORCID 0000-0002-1207-9006Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:metabolomics· 2 Approach:statistical model· 2 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:plant (other)· 1

Frequent Co-Authors

Allen HubbardiD· 1 shared Charles R. EvansiD· 1 shared Ciara ConwayiD· 1 shared David A. GauliD· 1 shared Douglas Allen· 1 shared Facundo M. FernándeziD· 1 shared Fan‐Zhou KongiD· 1 shared Hani HabraiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Allen HubbardORCID

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2 papers

Recent·Most cited

Systems BiologybioRxivPreprintFeb 1, 2023

The unknown lipids project: harmonized methods improve compound identification and data reproducibility in an inter-laboratory untargeted lipidomics study

Tong Shen, Ciara Conway, Kaitlin R. Rempfert…·Charles R. Evans

The paper improves compound identification and inter-laboratory reproducibility in untargeted lipidomics using harmonized methods and spectral analysis.

4 citations

mousemetabolomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 5, 2021

A novel paradigm for optimal mass feature peak picking in large scale LC-MS datasets using the isopair: isoLock, autoCredential and anovAlign

Allen Hubbard, Louis Connelly, Shrikaar Kambhampati…·Ivan R. Baxter

The paper introduces three computational tools to improve peak picking and validation in LC-MS datasets, showing better sensitivity and reproducibility than existing methods.

DOI 10.1101/2021.12.05.471237

plant (other)metabolomics

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