Combat Normalization
ComBat Normalization is a statistical harmonization method that corrects batch effects in high-throughput genomic data by adjusting for non-biological variations across batches while preserving biological signals through an empirical Bayes framework.
8
Publications
619
Citations
34
Authors
20
Institutions
Publications per year
2017–2026
6
Variants
Combat
Parents
8
Tristan Zindler, Helge Frieling, Alexandra Neyazi et al. · BMC Bioinformatics · 2020 · 98 citations · Full text
Peter Kupfer, Reinhard Guthke, Dirk Pohlers et al. · BMC Medical Genomics · 2012 · 83 citations · Full text
Abdelkader Behdenna, Maximilien Colange, Julien Haziza et al. · bioRxiv (Cold Spring Harbor Laboratory) · 2020 · 47 citations · Full text
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MRC University of Glasgow Centre for Virus Research, United Kingdom
2 publications · 195 citations
2
h-index
1–5 of 34
20

Université Paris Sciences et Lettres
Paris, France
2 h-index
2 publications
195 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
591 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
218 citations

ParisTech
Paris, France
2 h-index
2 publications
195 citations

Institut Curie
Paris, France
2 h-index
2 publications
195 citations
Epigénétique et Destin Cellulaire
Paris, France
2 h-index
9 publications
1K citations
Inserm
Paris, France
2 h-index
2 publications
195 citations

Broad Institute
Cambridge, United States
2 h-index
4 publications
394 citations
1–8 of 20
3 publications · 257 citations
3
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Repository · 2 publications · 63 citations
2
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1 publications · 35 citations
1
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1 publications · 181 citations
1
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1 publications · 83 citations
1
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