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PeacoQC: Peak-based selection of high quality cytometry data.

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第一作者: Annelies,Emmaneel
第一单位: Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium.;Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.
作者单位: Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium.;Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium. [1] Data Mining and Modeling for Biomedicine Group, VIB Center for Inflammation Research, Ghent, Belgium.;Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium.;Department of Pulmonary Diseases, Erasmus MC, Rotterdam, The Netherlands. [2] Laboratory of Immunoregulation and Mucosal Immunology, VIB Center for Inflammation Research, Ghent, Belgium.;Department of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium. [3] GENYO, Centre for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain. [4] GENYO, Centre for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain.;Institute for Environmental Medicine, Karolinska Institute, Stockholm, Sweden. [5] VIB Flow Core, VIB Center for Inflammation Research, Ghent, Belgium.;Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium. [6]
DOI 10.1002/cyto.a.24501
PMID 34549881
发布时间 2022-07-31
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Cytometry. Part A : the journal of the International Society for Analytical Cytology

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