A machine learning framework for scRNA-seq UMI threshold optimization and accurate classification of cell types https://t.co/fISprCBVfI
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RT @aritromics: Filtering scRNA-seq data based on arbitrary UMI thresholds can lead to loss of cells with low expression. We tackle this pr…
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My first paper in PhD just got published!! We present a machine learning framework to optimize the arbitrary UMI threshold commonly used during the standard scRNA-seq QC process
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RT @aritromics: Filtering scRNA-seq data based on arbitrary UMI thresholds can lead to loss of cells with low expression. We tackle this pr…