spqn-package: Spatial quantile normalization
In hansenlab/spqn: Spatial quantile normalization
Description
Details
References
Description
The spqn package implements spatial quantile normalization (SpQN). This method was
developed to remove a mean-correlation relationship in correlation matrices built from
gene expression data. It can serve as pre-processing step prior to a co-expression
analysis.
Details
See references for details on spatial quantile normalization.
The main function is normalize_correlation. We include a number
of plotting functions for examining the mean-correlation relationship,
see the vignette for examples.
References
Y Wang, SC Hicks, KD Hansen (2020).
Co-expression analysis is biased by a mean-correlation relationship.
bioRxiv 2020.02.13.944777. doi: 10.1101/2020.02.13.944777
hansenlab/spqn documentation built on April 25, 2020, 5:15 p.m.
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Description Details References
Description
The spqn package implements spatial quantile normalization (SpQN). This method was developed to remove a mean-correlation relationship in correlation matrices built from gene expression data. It can serve as pre-processing step prior to a co-expression analysis.
Details
See references for details on spatial quantile normalization.
The main function is normalize_correlation. We include a number
of plotting functions for examining the mean-correlation relationship,
see the vignette for examples.
References
Y Wang, SC Hicks, KD Hansen (2020). Co-expression analysis is biased by a mean-correlation relationship. bioRxiv 2020.02.13.944777. doi: 10.1101/2020.02.13.944777
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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