Batch Effect Detection
Batch Effect Detection is a methodological approach in single-cell quality control that identifies systematic, non-biological variations introduced during experimental processing steps, distinguished by its specific focus on detecting technical artifacts that confound biological signal across batches.
93
Publications
6.4K
Citations
490
Authors
241
Institutions
Publications per year
2017–2026
71
Parents
93
Effects of Atmospheric Ozone on Microarray Data Quality
Thomas L. Fare, Ernest M. Coffey, Hongyue Dai et al. · Analytical Chemistry · 2003 · 236 citations
Natural Sciences, Environmental Sciences, Molecular Biology +13
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241

Broad Institute
Cambridge, United States
5 h-index
13 publications
450 citations
University of Zurich
Zurich, Switzerland
4 h-index
11 publications
558 citations
Massachusetts General Hospital
Boston, United States
4 h-index
14 publications
430 citations

Johns Hopkins University
Baltimore, United States
4 h-index
5 publications
737 citations
Harvard University
Cambridge, United States
4 h-index
18 publications
1K citations
National University of Singapore
Singapore, Singapore
4 h-index
7 publications
939 citations
Yale University
New Haven, United States
4 h-index
14 publications
1.5K citations

Institut Curie
Paris, France
3 h-index
3 publications
206 citations
1–8 of 241
Repository · 9 publications · 206 citations
9
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9 publications · 530 citations
9
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7 publications · 562 citations
7
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5 publications · 293 citations
5
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4 publications · 320 citations
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