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scran (version 1.0.3)
Methods for Single-Cell RNA-Seq Data Analysis
Description
This package implements a variety of low-level analyses of single-cell RNA-seq data. Methods are provided for normalization of cell-specific biases, assignment of cell cycle phase, and detection of highly variable and significantly correlated genes.
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Version
Version
1.0.3
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Version
1.0.3
License
GPL-3
Maintainer
Aaron Lun
Last Published
May 20th, 2016
Functions in scran (1.0.3)
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Spike-in normalization
Normalization with spike-in counts
Normalized Expression
Compute normalized expression values
Distance-to-median
Compute the distance-to-median statistic
Get spikes
Construct the spike-in matrix
Quick clustering
Quick clustering of cells
sandbag
Cell cycle phase training
decomposeVar
Decompose the gene-level variance
Deconvolution Methods
Normalization by deconvolution
correlatePairs
Test for significant correlations
convertTo
Convert to other classes
testVar
Test for significantly large variances
cyclone
Cell cycle phase classification
trendVar
Get the biological variability