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func2vis
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Download and install func2vis package within the R console
Install from CRAN:
install.packages("func2vis")
Install from Github:
library("remotes")
install_github("cran/func2vis")
Install by package version:
library("remotes")
install_version("func2vis", "1.0-3")
Attach the package and use:
library("func2vis")
Maintained by
Raghvendra Mall
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-10
Latest Update: 2023-03-16
Description:
Provides functions to have visualization and clean-up of enriched gene ontologies (GO) terms,
protein complexes and pathways (obtained from multiple databases) using 'ConsensusPathDB'
from gene set over-expression analysis. Performs clustering of pathway based on similarity
of over-expressed gene sets and visualizations similar to Ingenuity Pathway Analysis (IPA)
when up and down regulated genes are known. The methods are described in a paper currently
submitted by Orecchioni et al, 2020 in Nanoscale.
How to cite:
Raghvendra Mall (2020). func2vis: Clean and Visualize Over Expression Results from 'ConsensusPathDB'. R package version 1.0-3, https://cran.r-project.org/web/packages/func2vis. Accessed 30 Jan. 2025.
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Complete documentation for func2vis
Functions, R codes and Examples using
the func2vis R package
Some associated functions: clean_go_terms . clean_pathways . clean_pc . enriched_goterms . enriched_pathways . enriched_pc . plot_go_terms . plot_pathways . plot_pathways_stacked_barplot . t.tests.treatment.sign .
Some associated R codes: clean_go_terms.R . clean_pathways.R . clean_pc.R . plot_go_terms.R . plot_pathways.R . plot_pathways_stacked_barplot.R . Full func2vis package functions and examples
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