Transcript Dropout Assessment
Transcript Dropout Assessment is a methodological procedure in single-cell RNA sequencing analysis that identifies and quantifies the failure of transcript detection due to technical limitations, distinguishing it from biological absence by evaluating the discrepancy between expected and observed transcript counts.
12
Publications
2.6K
Citations
39
Authors
31
Institutions
Publications per year
2017–2026
12
Parents
12
DrImpute: imputing dropout events in single cell RNA sequencing data
Wuming Gong, Il‐Youp Kwak, Pruthvi Pota et al. · BMC Bioinformatics · 2018 · 345 citations · Full text
Direct Comparative Analyses of 10X Genomics Chromium and Smart-Seq2
Xiliang Wang, Yao He, Qiming Zhang et al. · Genomics Proteomics & Bioinformatics · 2021 · 336 citations · Full text
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ParisTech
Paris, France
2 h-index
2 publications
879 citations
Center for Life Sciences
Beijing, China
2 h-index
6 publications
1.1K citations
Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
2 h-index
2 publications
879 citations
Inserm
Paris, France
2 h-index
2 publications
879 citations

Institut Curie
Paris, France
2 h-index
2 publications
879 citations

University of Minnesota
Minneapolis, United States
2 h-index
9 publications
1.8K citations
University of California, Berkeley
Berkeley, United States
2 h-index
4 publications
1.8K citations

Université Paris Sciences et Lettres
Paris, France
2 h-index
2 publications
879 citations
1–8 of 31
3 publications · 374 citations
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Repository · 3 publications · 69 citations
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2 publications · 1.6K citations
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1 publications · 17 citations
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1 publications · 336 citations
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