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Biology-inspired data-driven quality control for scientific discovery in single-cell transcriptomics
BACKGROUND: Quality control (QC) of cells, a critical first step in single-cell RNA sequencing data analysis, has largely relied on arbitrarily fixed data-agnostic thresholds applied to QC metrics such as gene complexity and fraction of reads mapping to mitochondrial genes. The few existing data-dri...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9793662/ https://www.ncbi.nlm.nih.gov/pubmed/36575523 http://dx.doi.org/10.1186/s13059-022-02820-w |