Scalable latent-factor models applied to single-cell RNA-seq data separate biological drivers from confounding effects

November 18, 2016 Leave a comment 4,089 Views

Single-cell RNA-sequencing (scRNA-seq) allows heterogeneity in gene expression levels to be studied in large populations of cells. Such heterogeneity can arise from both technical and biological factors, thus making decomposing sources of variation extremely difficult. Researchers from the European Bioinformatics ...

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Scalable latent-factor models applied to single-cell RNA-seq data separate biological drivers from confounding effects

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