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promor
View on CRAN: Click
here
Download and install promor package within the R console
Install from CRAN:
install.packages("promor")
Install from Github:
library("remotes")
install_github("cran/promor")
Install by package version:
library("remotes")
install_version("promor", "0.2.1")
Attach the package and use:
library("promor")
Maintained by
Chathurani Ranathunge
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.promor . https://github.com/caranathunge/promor/issues . https://github.com/caranathunge/promor . https://caranathunge.github.io/promor/ . promor citation info . promor results . promor.pdf . Introduction to promor . promor_0.2.1.tar.gz . promor_0.2.1.zip . promor_0.2.1.zip . promor_0.2.1.zip . promor_0.2.1.tgz . promor_0.2.1.tgz . promor_0.2.1.tgz . promor_0.2.1.tgz . promor_0.2.1.tgz . promor_0.2.1.tgz . promor archive . https://CRAN.R-project.org/package=promor .
First Published: 2022-07-20
Latest Update: 2023-07-17
Description:
A comprehensive, user-friendly package for label-free proteomics data analysis and machine learning-based modeling. Data generated from 'MaxQuant' can be easily used to conduct differential expression analysis, build predictive models with top protein candidates, and assess model performance. promor includes a suite of tools for quality control, visualization, missing data imputation (Lazar et. al. (2016) ), differential expression analysis (Ritchie et. al. (2015) ), and machine learning-based modeling (Kuhn (2008) ).
How to cite:
Chathurani Ranathunge (2022). promor: Proteomics Data Analysis and Modeling Tools. R package version 0.2.1, https://cran.r-project.org/web/packages/promor. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited promor R package
View promor citation profile
Other R packages that promor depends,
imports, suggests or enhances
Complete documentation for promor
Functions, R codes and Examples using
the promor R package
Some associated functions: aver_techreps . corr_plot . covid_fit_df . covid_norm_df . create_df . ecoli_fit_df . ecoli_norm_df . feature_plot . filterbygroup_na . find_dep . heatmap_de . heatmap_na . impute_na . impute_plot . norm_plot . normalize_data . onegroup_only . performance_plot . pre_process . rem_feature . rem_sample . roc_plot . split_data . test_models . train_models . varimp_plot . volcano_plot .
Some associated R codes: createDF.R . data.R . filterProteins.R . findDE.R . handleNA.R . handleTechReps.R . imputeFunctions.R . modelPlots.R . modelProteins.R . normalize.R . utils.R . Full promor package functions and examples
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