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Tools and methods for analysis of single cell assay data in R

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SingleCellAssay

Infrastructure and Tools for Single Cell Assay Analysis

Installation Instructions

 install.packages('devtools')
 library(devtools)
 install_github('SingleCellAssay', 'RGLab')
 # *or* if you don't have a working latex setup
 install_github('SingleCellAssay', 'RGLab', build_vignettes=FALSE)
 vignette('SingleCellAssay-intro')

Needs roxygen2 4.0.0.99 or higher (available on github) if the documentation is regenerated--otherwise the NAMESPACE file will not be correct.

New Features in version .85

  • The interface to zlm.SingleCellAssay has changed somewhat, and is not completely backwards compatible
    • But now it is easier to add hurdle models with different modeling functions. Try method='glmer' or method='bayesglm' for mixed effects or bayesian methods.
    • Multiple hypothesis can be tested by passing a list of hypothesis (either terms to drop for Likelihood Ratio Tests, or hypotheses formated a la car::lht
  • Thresholding support for NanoString in thresholdNanoString

doi/10.5281/zendoo.9810

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Tools and methods for analysis of single cell assay data in R

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