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Article

Assessment of batch-correction methods for scRNA-seq data with a new test metric

2017-10-09

Abstract excerpt

Single-cell transcriptomics is a versatile tool for exploring heterogeneous cell populations. As with all genomics experiments, batch effects can hamper data integration and interpretation. The success of batch effect correction is often evaluated by visual inspection of dimension-reduced representations such as principal component analysis. This is inherently imprecise due to the high number of genes and non-norm...

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Literature Corpus work
b0a250fb-ab0d-5bc5-a307-022c9aaae14e
DOI
10.1101/200345
Open publication

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Assessment of batch-correction methods for scRNA-seq data with a new test metricDOI 10.1101/200345
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