Bioconductor version: Release (3.16)
The aim of oppti is to analyze protein (and phosphosite) expressions to find outlying markers for each sample in the given cohort(s) for the discovery of personalized actionable targets.
Author: Abdulkadir Elmas
Maintainer: Abdulkadir Elmas <abdulkadir.elmas at mssm.edu>
Citation (from within R,
enter citation("oppti")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("oppti")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("oppti")
HTML | R Script | Outlier Protein and Phosphosite Target Identifier |
Reference Manual | ||
Text | NEWS |
biocViews | BiomedicalInformatics, DifferentialExpression, GeneExpression, GeneTarget, Network, Proteomics, Regression, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (3.5 years) |
License | MIT |
Depends | R (>= 3.5) |
Imports | limma, stats, reshape, ggplot2, grDevices, RColorBrewer, pheatmap, knitr, methods, devtools, parallelDist |
LinkingTo | |
Suggests | markdown |
SystemRequirements | |
Enhances | |
URL | https://github.com/Huang-lab/oppti |
BugReports | https://github.com/Huang-lab/oppti/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | oppti_1.12.0.tar.gz |
Windows Binary | oppti_1.12.0.zip (64-bit only) |
macOS Binary (x86_64) | oppti_1.12.0.tgz |
macOS Binary (arm64) | oppti_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/oppti |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/oppti |
Bioc Package Browser | https://code.bioconductor.org/browse/oppti/ |
Package Short Url | https://bioconductor.org/packages/oppti/ |
Package Downloads Report | Download Stats |
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