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scBFA: modeling detection patterns to mitigate technical noise in large-scale single-cell genomics data
Technical variation in feature measurements, such as gene expression and locus accessibility, is a key challenge of large-scale single-cell genomic datasets. We show that this technical variation in both scRNA-seq and scATAC-seq datasets can be mitigated by analyzing feature detection patterns alone...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734238/ https://www.ncbi.nlm.nih.gov/pubmed/31500668 http://dx.doi.org/10.1186/s13059-019-1806-0 |