SkewC: Identifying cells with skewed gene body coverage in single-cell RNA sequencing data
Summary: 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...
Main Authors: | Imad Abugessaisa, Akira Hasegawa, Shuhei Noguchi, Melissa Cardon, Kazuhide Watanabe, Masataka Takahashi, Harukazu Suzuki, Shintaro Katayama, Juha Kere, Takeya Kasukawa |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-02-01
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Series: | iScience |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004222000475 |
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