Author

Karl T. Kelsey

Brown UniversityORCID 0000-0002-2302-1600Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:DNA methylation· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Research Focus:deconvolution· 2 Research Focus:differential expression· 2 Approach:benchmark study· 1

Frequent Co-Authors

Brock C. ChristenseniD· 2 shared Devin C. KoestleriD· 2 shared John K. WienckeiD· 2 shared Lucas A. SalasiD· 2 shared Alan R. Schned· 1 shared Alice VickersiD· 1 shared Ana ViñuelaiD· 1 shared Annette M. MolinaroiD· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Brock C. ChristensenORCID

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Author profile →

4 papers

Recent·Most cited

Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling

Lucas A. Salas, Ze Zhang, Devin C. Koestler, Rondi A. Butler, Helen M. Hansen, Annette M. Molinaro, John K. Wiencke, Karl T. Kelsey, Brock C. Christensen

The paper enhances cell deconvolution of peripheral blood using DNA methylation to provide high-resolution immune profiling by including 12 leukocyte subtypes and validated libraries.

Nature Communications · Feb 9, 2022Peer-reviewedBioinformatics

A Machine Learning Approach for Long-Term Prognosis of Bladder Cancer based on Clinical and Molecular Features

Qingyuan Song, John D. Seigne, Alan R. Schned, Karl T. Kelsey, Margaret Rita Karagas, Saeed Hassanpour

This study develops a machine learning model to predict 10-year overall survival in bladder cancer patients using clinical and molecular features, without relying on tumor grade classification.

bioRxiv · Dec 4, 2019 · PreprintBioinformatics

Systematic evaluation and validation of reference and library selection methods for deconvolution of cord blood DNA methylation data

Kristina Gervin, Lucas A. Salas, Kelly M. Bakulski, Menno C. van Zelm, Devin C. Koestler, John K. Wiencke, Liesbeth Duijts, Henriëtte A. Moll, Karl T. Kelsey, Michael Steffen Kobor, Robert Lyle, Brock C. Christensen, Janine F. Felix, Meaghan J. Jones

The paper evaluates and validates reference and library selection methods for deconvolving cord blood DNA methylation data, finding that the IDOL library outperforms automatic selection methods.

Clinical Epigenetics · Aug 27, 2019Peer-reviewedBioinformatics

Smoking induces coordinated DNA methylation and gene expression changes in adipose tissue with consequences for metabolic health

Pei-Chien Tsai, Craig A. Glastonbury, Melissa Eliot, Sailalitha Bollepalli, İdil Yet, Juan Castillo Fernandez, Elena Carnero‐Montoro, Thomas Hardiman, Tiphaine C. Martin, Alice Vickers, Massimo Mangino, Kirsten J. Ward, Kirsi Hannele Pietiläinen, Panos Deloukas, Tim D. Spector, , Jordana T. Bell

This study identifies smoking-associated DNA methylation and gene expression changes in adipose tissue and links some to cardio-metabolic health outcomes.

Clinical Epigenetics · Oct 20, 2018Peer-reviewedGenomics