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...

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Detalles Bibliográficos
Autores principales: Abugessaisa, Imad, Hasegawa, Akira, Noguchi, Shuhei, Cardon, Melissa, Watanabe, Kazuhide, Takahashi, Masataka, Suzuki, Harukazu, Katayama, Shintaro, Kere, Juha, Kasukawa, Takeya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
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

Internet

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

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