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Publisher Correction: Challenges in unsupervised clustering of single-cell RNA-seq data
Vladimir Yu Kiselev1, Tallulah S Andrews1, Martin Hemberg2
1Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK.
Nature Reviews. Genetics
|January 24, 2019
Summary
This article has been corrected online after typesetting errors affected URLs for clustering tools like Seurat and PCA analysis methods. Reference list annotations were also corrected for accuracy.
Area of Science:
- Bioinformatics
- Computational Biology
- Data Science
Background:
- Clustering tools are essential for analyzing high-dimensional biological data.
- Accurate referencing and tool accessibility are crucial for scientific reproducibility.
Purpose of the Study:
- To correct errors in the published article.
- To ensure the accuracy of hyperlinked URLs for clustering tools.
- To rectify numbering in reference list annotations.
Main Methods:
- Online correction of hyperlinked URLs for Seurat, CIDR, pcaReduce, and mpath.
- Revising numbering for bold-text annotations in the reference list.
Main Results:
- All affected URLs for clustering tools have been corrected.
- Reference list annotations are now accurately numbered.
Conclusions:
- The article is now accurate and reliable for readers.
- Ensured accessibility and correct citation of bioinformatics tools.
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