promor
Proteomics Data Analysis and Modeling Tools
v0.2.2
·
Nov 11, 2025
·
LGPL (>= 2.1)
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) <doi:10.1021/acs.jproteome.5b00981>), differential expression analysis (Ritchie et. al. (2015) <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008) <doi:10.18637/jss.v028.i05>).
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CRAN Check Status
14
OK
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 3, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 3, 2026
ERROR
r-devel-linux-x86_64-fedora-gcc
examples
Running examples in ‘promor-Ex.R’ failed The error most likely occurred in: > ### Name: heatmap_na > ### Title: Visualize missing data > ### Aliases: heatmap_na > > ### ** Examples > > ## Generate a raw_df object with default settings. No technica ...[truncated]... t': HTTP status was '429 Unknown Error' Error in file(file, "rt") : cannot open the connection to 'https://raw.githubusercontent.com/caranathunge/promor_example_data/main/ed1.txt' Calls: create_df -> read.csv -> read.table -> file Execution halted