Batch Correction Metrics
Batch Correction Metrics is a quantitative evaluation framework used in bioinformatics to assess the effectiveness of batch effect removal by measuring the degree of technical variation reduction while preserving biological signal integrity across datasets.
14
Publications
1.2K
Citations
61
Authors
25
Institutions
Publications per year
2017–2026
9
Parents
14
Identifying and mitigating batch effects in whole genome sequencing data
Jennifer Tom, Jens Reeder, William F. Forrest et al. · BMC Bioinformatics · 2017 · 68 citations · Full text
Evaluating batch correction methods for image-based cell profiling
John Arévalo, Ellen Su, Jessica Ewald et al. · Nature Communications · 2024 · 67 citations · Full text
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Broad Institute
Cambridge, United States
2 h-index
11 publications
517 citations
Vall d'Hebron Institute of Oncology
Barcelona, Spain
1 h-index
5 publications
260 citations

University of Padua
Padua, Italy
1 h-index
1 publications
31 citations
Japan Meteorological Agency
Tokyo, Japan
1 h-index
1 publications
23 citations
University of Florida
Gainesville, United States
1 h-index
1 publications
12 citations
Japan Steel Works (Japan)
Tokyo, Japan
1 h-index
2 publications
46 citations
Fudan University
Shanghai, China
1 h-index
2 publications
1.2K citations
University of Zurich
Zurich, Switzerland
1 h-index
2 publications
96 citations
1–8 of 25
Repository · 2 publications · 46 citations
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SIB · 1 publications · 31 citations
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1 publications · 12 citations
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Book series · 1 publications · 48 citations
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1 publications · 592 citations
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