Author

Kelsi Perttula

University of California, BerkeleyORCID 0000-0002-5520-7792Unclaimed ORCID profile · follow to get notified of new preprints

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 Lauren M. PetrickiD· 1 shared Sandrine DudoitiD· 1 shared Stephen M. RappaportiD· 1 shared Todd P. Whitehead· 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

BioinformaticsbioRxivPreprintAug 8, 2018

Data-adaptive pipeline for filtering and normalizing metabolomics data.

Courtney Schiffman, Lauren M. Petrick, Kelsi Perttula…·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.

3 citations

humanmetabolomics