Author

Courtney Schiffman

University of California, BerkeleyORCID 0000-0003-4126-9033Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:metabolomics· 1

Frequent Co-Authors

Josie L. HayesiD· 2 shared Sandrine DudoitiD· 2 shared Stephen M. RappaportiD· 2 shared William M. B. EdmandsiD· 2 shared Yukiko YanoiD· 2 shared Allen NguyeniD· 1 shared Amelia Au‐Yeung· 1 shared Catherine MetayeriD· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Josie L. HayesORCID

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintJul 2, 2024

Molecular characterization of response to etrolizumab and anti-TNF reveals treatment resistance in ulcerative colitis is associated with the abundance of residual neutrophil subsets and inflammatory fibroblast populations

Shadi Toghi Eshghi, John Mark B. Gubatan, Parisa Mazrooei…·Jacqueline McBride

The paper identifies treatment resistance in ulcerative colitis linked to residual neutrophil subsets and inflammatory fibroblasts using single-cell analysis of biopsy data.

3 citations

humanscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 6, 2018

adductomicsR: A package for detection and quantification of protein adducts from mass spectra of tryptic digests

Josie L. Hayes, William M. B. Edmands, Yukiko Yano…·Stephen M. Rappaport

The paper introduces adductomicsR, an R package for detecting and quantifying protein adducts from LC-HRMS data of tryptic digests.

1 citation

humanproteomics

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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

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