Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics

被引：0
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作者：
Ayshwarya Subramanian
Mikhail Alperovich
Yiming Yang
Bo Li
机构：
[1] Klarman Cell Observatory,Center for Immunology and Inflammatory Diseases, Department of Medicine
[2] Broad Institute of MIT and Harvard,undefined
[3] Brigham and Womens’s Hospital,undefined
[4] Harvard Medical School,undefined
[5] MIT PRIMES,undefined
[6] Massachusetts Institute of Technology,undefined
[7] Lexington High School,undefined
[8] Present Address: Wake Technical Community College,undefined
[9] Massachusetts General Hospital,undefined
[10] Present Address: Department of Cellular and Tissue Genomics,undefined
[11] Genentech Inc.,undefined
[12] Department of Medicine,undefined
[13] Harvard Medical School,undefined
来源：
Genome Biology | / 23卷
关键词：
scRNA-seq; Quality control (QC); Data-driven; Single cell; Adaptive QC; Exploratory data analysis (EDA); Biological variation;
D O I：
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