schex avoids overplotting for large single-cell RNA-sequencing datasets.
Where this comes from
- Record sourced from PubMed, PMID 31794001.
- Also identified by DOI 10.1093/bioinformatics/btz907.
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Abstract
Due to the scale and sparsity of single-cell RNA-sequencing data, traditional plots can obscure vital information. Our R package schex overcomes this by implementing hexagonal binning, which has the additional advantages of improving speed and reducing storage for resulting plots. schex is freely available from Bioconductor via http://bioconductor.org/packages/release/bioc/html/schex.html and its development version can be accessed on GitHub via https://github.com/SaskiaFreytag/schex. Supplementary data are available at Bioinformatics online.
Medical subject headings
- RNA
- Software