broadSeq-package |
broadSeq : for streamlined exploration of RNA-seq data |
assay_plot |
Expression of multiple genes/features from a single assay as boxplot (or added dotplot) |
biplotAnyPC |
Perform Principal Components Analysis |
broadSeq |
broadSeq : for streamlined exploration of RNA-seq data |
combinedEnrichment |
Provides GO gene set enrichment and over-representation analysis |
genes_plot |
Expression of multiple genes/features from a single assay as boxplot (or added dotplot) |
getFeatureLoadRanking |
Perform Principal Components Analysis |
normalizeEdgerCPM |
Use of edgeR package to normalize count data |
plotAnyPC |
Perform Principal Components Analysis |
plotHeatmapCluster |
Plot clustered heatmaps |
plot_MDS |
Classical multidimensional scaling |
prcompTidy |
Perform Principal Components Analysis |
round_df |
Applies round function only on numeric columns of a data.frame. |
sampleAssay_plot |
Useful to visualize distribution of assay values for each sample. Plots 'boxplot' of any assay for each sample. Aesthetic can be added from colData. |
transformDESeq2 |
Transform SummarizedExperiment with DESeq2 package |
use_DELocal |
To use SummarizedExperiment with package DELocal |
use_deseq2 |
To use SummarizedExperiment with package DESeq2 |
use_EBSeq |
To use SummarizedExperiment with package EBSeq |
use_edgeR |
To use SummarizedExperiment with package edgeR |
use_edgeR_exact |
To use SummarizedExperiment with package edgeR |
use_edgeR_GLM |
To use SummarizedExperiment with package edgeR |
use_limma |
To use SummarizedExperiment with package limma |
use_limma_trend |
To use SummarizedExperiment with package limma |
use_limma_voom |
To use SummarizedExperiment with package limma |
use_multDE |
To identify differentially expressed genes by multiple methods |
use_NOIseq |
Differential expression method for NOISeq |
use_SAMseq |
To use SummarizedExperiment with package samr |
volcanoPlot |
Volcano plot with formatted x and y axis label. |