Author

Todd P. Whitehead

University of California, Berkeley

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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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:metabolomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Catherine MetayeriD· 1 shared Courtney SchiffmaniD· 1 shared Henrik CarlssoniD· 1 shared Josie L. HayesiD· 1 shared Kelsi PerttulaiD· 1 shared Lauren M. PetrickiD· 1 shared Sandrine DudoitiD· 1 shared Stephen M. RappaportiD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Catherine MetayerORCID

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1 paper

Recent·Most cited

Data-adaptive pipeline for filtering and normalizing metabolomics data.

Courtney Schiffman, Lauren M. Petrick, Kelsi Perttula, Yukiko Yano, Henrik Carlsson, Todd P. Whitehead, Catherine Metayer, Josie L. Hayes, William M. B. Edmands, Stephen M. Rappaport, Sandrine Dudoit

The paper introduces a data-adaptive pipeline for filtering and normalizing metabolomics data, showing it outperforms traditional methods in reducing technical noise and preserving biological signals.

bioRxiv · Aug 8, 2018 · PreprintBioinformatics