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clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasets

2018-03-12

Abstract excerpt

Clustering of genes and/or samples is a common task in gene expression analysis. The goals in clustering can vary, but an important scenario is that of finding biologically meaningful subtypes within the samples. This is an application that is particularly appropriate when there are large numbers of samples, as in many human disease studies. With the increasing popularity of single-cell transcriptome sequencing (R...

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Literature Corpus work
a016ec3a-7fa0-54ed-a8d3-d2d62fdaa627
DOI
10.1101/280545
Open publication

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clusterExperiment and RSEC: A Bioconductor package and framework for clustering of single-cell and other large gene expression datasetsDOI 10.1101/280545
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