Provides classes and functions for quality control, filtering, normalization and differential expression analysis of pre-processed RNA-seq data. Data can be imported from `SummarizedExperiment` as well as `matrix` objects and can be annotated from BioMart. Filtering for genes without too low expression or containing required annotations, as well as filtering for samples with sufficient correlation to other samples or total number of reads is supported. The standard normalization methods including `cpm`, `rpkm` and `tpm` can be used, and `DESeq2` as well as `voom` differential expression analyses are available.
|Bioconductor views||DifferentialExpression Normalization Preprocessing QualityControl RNASeq|
|License||Apache License 2.0 | file LICENSE|
|Package repository||View on GitHub|
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