Package: GeDi 1.1.1

Annekathrin Nedwed

GeDi: Defining and visualizing the distances between different genesets

The package provides different distances measurements to calculate the difference between genesets. Based on these scores the genesets are clustered and visualized as graph. This is all presented in an interactive Shiny application for easy usage.

Authors:Annekathrin Nedwed [aut, cre], Federico Marini [aut]

GeDi_1.1.1.tar.gz
GeDi_1.1.1.zip(r-4.5)GeDi_1.1.1.zip(r-4.4)GeDi_1.1.1.zip(r-4.3)
GeDi_1.1.1.tgz(r-4.4-any)GeDi_1.1.1.tgz(r-4.3-any)
GeDi_1.1.1.tar.gz(r-4.5-noble)GeDi_1.1.1.tar.gz(r-4.4-noble)
GeDi_1.1.1.tgz(r-4.4-emscripten)GeDi_1.1.1.tgz(r-4.3-emscripten)
GeDi.pdf |GeDi.html✨
GeDi/json (API)
NEWS

# Install 'GeDi' in R:

install.packages('GeDi', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/annekathrinsilvia/gedi/issues

Datasets:

macrophage_KEGG_example - A sample input RData file
macrophage_Reactome_example - A sample input RData file
macrophage_topGO_example - A sample input RData file
macrophage_topGO_example_small - A small sample input RData file
ppi_macrophage_topGO_example_small - PPI
sample_geneset - A sample input text file
sample_geneset_broken - A broken input text file
sample_geneset_empty - An empty input text file
sample_geneset_small - A small sample input text file
scores_macrophage_topGO_example_small - Sample scores

On BioConductor:GeDi-1.1.0(bioc 3.20)GeDi-1.0.0(bioc 3.19)

bioconductor-package

34 exports 1.90 score 191 dependencies

Last updated 15 days agofrom:a17c59cdff

Exports:buildClusterGraph buildGraph buildHistogramData calculateJaccard calculateKappa calculateSorensenDice checkInclusion clustering distanceDendro distanceHeatmap enrichmentWordcloud fuzzyClustering GeDi getAdjacencyMatrix getAnnotation getBipartiteGraph getClusterAdjacencyMatrix getGenes getGraphTitle getId getInteractionScore getJaccardMatrix getKappaMatrix getMeetMinMatrix getpMMMatrix getPPI getSorensenDiceMatrix getStringDB goSimilarity gsHistogram kNN_clustering pMMlocal scaleGO seedFinding

Dependencies:abind AnnotationDbi anytime askpass backbone base64enc BH Biobase BiocFileCache BiocGenerics BiocNeighbors BiocParallel Biostrings bit bit64 bitops blob bs4Dash bslib cachem caTools cellranger chron circlize cli clue cluster codetools colorspace colourpicker commonmark ComplexHeatmap ComplexUpset cpp11 crayon crosstalk curl data.table DBI dbplyr DelayedArray dendextend DESeq2 digest doParallel dplyr DT dynamicTreeCut evaluate expm fansi farver fastmap filelock fontawesome foreach formatR fresh fs futile.logger futile.options generics GeneTonic GenomeInfoDb GenomeInfoDbData GenomicRanges GetoptLong ggdendro ggforce ggplot2 ggrepel ggridges GlobalOptions glue GO.db GOSemSim gplots gridExtra gsubfn gtable gtools hash highr hms htmltools htmlwidgets httpuv httr igraph IRanges isoband iterators jquerylib jsonlite KEGGREST KernSmooth knitr labeling lambda.r later lattice lazyeval lifecycle locfit magrittr MASS Matrix MatrixGenerics matrixStats memoise mgcv mime miniUI munsell nlme NLP openssl patchwork pillar pkgconfig plogr plotly plotrix plyr png polyclip prettyunits progress promises proto purrr R6 rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen RcppHNSW readxl rematch rintrojs rjson rlang rmarkdown RSQLite rstudioapi S4Arrays S4Vectors sass scales shape shiny shinyAce shinyBS shinycssloaders shinyjs shinyWidgets slam snow sourcetools SparseArray sqldf STRINGdb stringi stringr SummarizedExperiment sys systemfonts tibble tidyr tidyselect tinytex tippy tm tweenr UCSC.utils utf8 vctrs viridis viridisLite visNetwork waiter withr wordcloud2 xfun xml2 xtable XVector yaml yulab.utils zlibbioc

The GeDi User's Guide

Annekathrin Silvia Nedwed, Federico Marini

Rendered fromGeDi_manual.Rmdusingknitr::rmarkdownon Jun 26 2024.

Last update: 2024-04-08
Started: 2022-02-09

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Check genesets format	.checkGenesets
Check PPI format	.checkPPI
Check distance scores format	.checkScores
Filter Genesets from the input data	.filterGenesets
Make an educated guess on the separator character	.findSeparator
Map each geneset to the cluster it belongs	.getClusterDatatable
Title	.getGenesetDescriptions
Determine the number of cores to use for a function	.getNumberCores
Generate a 'data.frame' of graph metrics	.graphMetricsGenesetsDT
Make an educated guess on the separator character	.sepguesser
Build a cluster graph	buildClusterGraph
Construct a graph	buildGraph
Prepare data for 'gsHistogram()'.	buildHistogramData
Calculate the Jaccard distance	calculateJaccard
Calculate the Kappa distance	calculateKappa
Calculate the Sorensen-Dice distance	calculateSorensenDice
Check for subset inclusion	checkInclusion
Cluster genesets.	clustering
Plot a dendrogram	distanceDendro
Plot a heatmap	distanceHeatmap
Visualize the results of an enrichment analysis as word cloud	enrichmentWordcloud
Find cluster from initial seeds	fuzzyClustering
GeDi main function	GeDi
Construct an adjacency matrix	getAdjacencyMatrix
Get the annotation of a STRINGdb object	getAnnotation
Construct a bipartite graph	getBipartiteGraph
Construct an adjacency matrix	getClusterAdjacencyMatrix
Split string of genes	getGenes
Build up the node title	getGraphTitle
Get NCBI ID	getId
Calculate interaction score for two genesets	getInteractionScore
Get Matrix of Jaccard distances	getJaccardMatrix
Get Matrix of Kappa distances	getKappaMatrix
Get Matrix of Meet-Min distances	getMeetMinMatrix
Calculate the pMM distance	getpMMMatrix
Download Protein-Protein Interaction (PPI)	getPPI
Get Matrix of Sorensen-Dice distances	getSorensenDiceMatrix
Get the STRING db entry of a species	getStringDB
Calculate similarity of GO terms	goSimilarity
Create a histogram plot for gene set sizes	gsHistogram
Calculate clusters based on kNN clustering	kNN_clustering
A sample input RData file	macrophage_KEGG_example
A sample input RData file	macrophage_Reactome_example
A sample input RData file	macrophage_topGO_example
A small sample input RData file	macrophage_topGO_example_small
Calculate local pMM distance	pMMlocal
PPI	ppi_macrophage_topGO_example_small
A sample input text file	sample_geneset
A broken input text file	sample_geneset_broken
An empty input text file	sample_geneset_empty
A small sample input text file	sample_geneset_small
Scaling (distance) scores	scaleGO
Sample scores	scores_macrophage_topGO_example_small
Find clustering seeds	seedFinding