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RVA
View on CRAN: Click
here
Download and install RVA package within the R console
Install from CRAN:
install.packages("RVA")
Install from Github:
library("remotes")
install_github("cran/RVA")
Install by package version:
library("remotes")
install_version("RVA", "0.0.5")
Attach the package and use:
library("RVA")
Maintained by
Xingpeng Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-10
Latest Update: 2021-11-01
Description:
Automate downstream visualization & pathway analysis in RNAseq analysis. 'RVA' is a collection of functions that efficiently visualize RNAseq differential expression analysis result from summary statistics tables. It also utilize the Fisher's exact test to evaluate gene set or pathway enrichment in a convenient and efficient manner.
How to cite:
Xingpeng Li (2020). RVA: RNAseq Visualization Automation. R package version 0.0.5, https://cran.r-project.org/web/packages/RVA. Accessed 21 Nov. 2024.
Other packages that cited RVA R package
View RVA citation profile
Other R packages that RVA depends,
imports, suggests or enhances
Complete documentation for RVA
Functions, R codes and Examples using
the RVA R package
Some associated functions: Sample_disease_gene_set . Sample_summary_statistics_table . Sample_summary_statistics_table1 . c2BroadSets . cal.pathway.scores . calc.cfb . count_table . dlPathwaysDB . get.cpm.colors . get.cutoff.df . get.cutoff.ggplot . make.cutoff.plotly . multiPlot . nullreturn . plot_cutoff . plot_cutoff_single . plot_gene . plot_heatmap.cfb . plot_heatmap.cpm . plot_heatmap.expr . plot_pathway . plot_qq . plot_volcano . prettyGraphs . produce.cutoff.message . produce.cutoff.warning . reformat.ensembl . sample_annotation . sample_count_cpm . secondCutoffErr . transform.geneid . validate.FC . validate.annot . validate.baseline . validate.col.types . validate.comp.names . validate.data.annot . validate.data . validate.flag . validate.genes.present . validate.geneset . validate.numeric . validate.pathways.db . validate.pval.range . validate.pvalflag . validate.pvals . validate.single.table.isnotlist . validate.stats.cols . validate.stats . wpA2020 .
Some associated R codes: data.R . plot_cutoff.R . plot_gene.R . plot_heatmap.R . plot_pathway.R . plot_qq.R . plot_volcano.R . validate.input.R . Full RVA package functions and examples
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