Data type and tools for working with matrices having precision weights and missing data. This package provides a common representation and tools that can be used with many types of highthroughput data. The meaning of the weights is compatible with usage in the base R function "lm" and the package "limma". Calibrate weights to account for known predictors of precision. Find rows with excess variability. Perform differential testing and find rows with the largest confident differences. Find PCAlike components of variation even with many missing values, rotated so that individual components may be meaningfully interpreted. DelayedArray matrices and BiocParallel are supported.
Package details 


Author  Paul Harrison [aut, cre] (<https://orcid.org/000000023980268X>) 
Bioconductor views  DataRepresentation DimensionReduction GeneExpression RNASeq Regression SingleCell Software Transcriptomics 
Maintainer  Paul Harrison <paul.harrison@monash.edu> 
License  LGPL2.1  file LICENSE 
Version  1.2.0 
Package repository  View on Bioconductor 
Installation 
Install the latest version of this package by entering the following in R:

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