Calculating Detection Limits and Uncertainty of Reference-Based Deconvolution of Whole-Blood DNA Methylation Data

Shelby Bell-Glenn1 Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS66160, USAView further author information

Lucas A Salas2 Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH03756, USAView further author information

Annette M Molinaro3 Department of Neurological Surgery, University of California San Francisco, San Francisco, CA94143, USAView further author information

Rondi A Butler4 Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI02912, USAView further author information

Brock C Christensen2 Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, NH03756, USA;6 Department of Molecular & Systems Biology, Geisel School of Medicine, Dartmouth College, Lebanon, NH03756, USA;7 Department of Community & Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH03756, USAView further author information

Karl T Kelsey4 Departments of Epidemiology & Pathology & Laboratory Medicine, Brown University, Providence, RI02912, USAView further author information

John K Wiencke3 Department of Neurological Surgery, University of California San Francisco, San Francisco, CA94143, USA;5 Institute for Human Genetics, University of California San Francisco, San Francisco, CA94143, USAView further author information

Devin C Koestler1 Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS66160, USACorrespondence[email protected]

https://orcid.org/0000-0002-0598-0146 View further author information

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Calculating Detection Limits and Uncertainty of Reference-Based Deconvolution of Whole-Blood DNA Methylation Data

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Calculating Detection Limits and Uncertainty of Reference-Based Deconvolution of Whole-Blood DNA Methylation Data

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