| 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. |