Cross-study Harmonization
Cross-Study Harmonization is a methodological framework in batch effect correction that integrates data from multiple independent studies by removing non-biological, study-specific technical variation while preserving biologically relevant signals.
21
Publications
720
Citations
245
Authors
137
Institutions
Publications per year
2017–2026
15
Parents
21
Ivan I. Maximov, Dag Alnæs, Lars T. Westlye · Human Brain Mapping · 2019 · 112 citations · Full text
Catherine R. Lesko, Lisa P. Jacobson, Keri N. Althoff et al. · International Journal of Epidemiology · 2018 · 67 citations · Full text
Public Health, Biostatistics, Population Health Sciences +17
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137

Johns Hopkins University
Baltimore, United States
5 h-index
16 publications
771 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
4 h-index
25 publications
524 citations
University of Washington
Seattle, United States
3 h-index
11 publications
415 citations
Harvard University
Cambridge, United States
3 h-index
17 publications
537 citations
RTI International
Durham, United States
3 h-index
11 publications
295 citations
National Cancer Institute
Bethesda, United States
2 h-index
3 publications
86 citations
National Institutes of Health
Bethesda, United States
2 h-index
3 publications
136 citations

McGill University
Montreal, Canada
2 h-index
5 publications
326 citations
1–8 of 137
2 publications · 169 citations
2
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DADM · 1 publications · 11 citations
1
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1 publications · 29 citations
1
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1 publications · 112 citations
1
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1 publications · 37 citations
1
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