Epigenomic Data Normalization
Epigenomic Data Normalization is a computational procedure that belongs to the class of data preprocessing methods, specifically designed to adjust high-throughput epigenomic measurements for systematic technical variations while preserving biologically meaningful patterns across samples.
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2017–2026
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ChAMP: 450k Chip Analysis Methylation Pipeline
Tiffany Morris, Lee M Butcher, Andrew Feber et al. · Bioinformatics · 2013 · 1.1K citations · Full text
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Johns Hopkins University
Baltimore, United States
5 h-index
10 publications
5K citations
Harvard University
Cambridge, United States
4 h-index
6 publications
697 citations

Jewish General Hospital
Montreal, Canada
3 h-index
7 publications
1.2K citations
Douglas Mental Health University Institute
Montreal, Canada
3 h-index
4 publications
1.1K citations

McGill University
Montreal, Canada
3 h-index
11 publications
2.3K citations
Dana-Farber Cancer Institute
Boston, United States
3 h-index
5 publications
671 citations
Heidelberg University
Heidelberg, Germany
2 h-index
6 publications
1.1K citations
Ottawa Hospital Research Institute
Ottawa, Canada
2 h-index
2 publications
1K citations
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9 publications · 5.6K citations
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Repository · 4 publications · 114 citations
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