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SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data
The analysis and interpretation of single-cell RNA sequencing (scRNA-seq) experiments are compromised by the presence of poor-quality cells. For meaningful analyses, such poor-quality cells should be excluded as they introduce noise in the data. We introduce SkewC, a quality-assessment tool, to iden...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819117/ https://www.ncbi.nlm.nih.gov/pubmed/35146392 http://dx.doi.org/10.1016/j.isci.2022.103777 |