R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
pKSEA
View on CRAN: Click
here
Download and install pKSEA package within the R console
Install from CRAN:
install.packages("pKSEA")
Install from Github:
library("remotes")
install_github("cran/pKSEA") Install by package version:
library("remotes")
install_version("pKSEA", "0.0.1") Attach the package and use:
library("pKSEA")
Maintained by
Peter Liao
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-12-22
Latest Update: 2017-12-22
Description:
A tool for inferring kinase activity changes from
phosphoproteomics data. 'pKSEA' uses kinase-substrate
prediction scores to weight observed changes in
phosphopeptide abundance to calculate a phosphopeptide-level
contribution score, then sums up these contribution scores by
kinase to obtain a phosphoproteome-level kinase activity
change score (KAC score). 'pKSEA' then assesses the
significance of changes in predicted substrate abundances for
each kinase using permutation testing. This results in a
permutation score (pKSEA significance score) reflecting the
likelihood of a similarly high or low KAC from random chance,
which can then be interpreted in an analogous manner to an
empirically calculated p-value. 'pKSEA' contains default
databases of kinase-substrate predictions from 'NetworKIN'
(NetworKINPred_db)
Horn, et. al (2014)
and of known kinase-substrate links from 'PhosphoSitePlus'
(KSEAdb)
Hornbeck PV, et. al (2015) .
How to cite:
Peter Liao (2017). pKSEA: Prediction-Based Kinase-Substrate Enrichment Analysis. R package version 0.0.1, https://cran.r-project.org/web/packages/pKSEA. Accessed 05 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited pKSEA R package
View pKSEA citation profile
Other R packages that pKSEA depends,
imports, suggests or enhances
Complete documentation for pKSEA
Functions, R codes and Examples using
the pKSEA R package
Some associated functions: KSEAdb . KSEAfilter . NetworKINPred_db . batchrun . calc_contribution . compare . get_matched_data . getscores . getsubs . mk_runlabel . perc.permutation . perc.rank . permtest . results_write . run_on_matched .
Some associated R codes: datadoc.R . internal_functions.R . user_level_functions.R . Full pKSEA package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
ClimClass
Classification of climate according to Koeppen - Geiger, of aridity
indices, of continentality indi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Emanuele Eccel (view profile)
imagefx
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alex J.C. Witsil (view profile)
neat
Includes functions and examples to compute NEAT, the Network
Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mirko Signorelli (view profile)
roccv
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ben Sherwood (view profile)
pinp
A 'PNAS'-alike style for 'rmarkdown', derived from the
'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Dirk Eddelbuettel (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
26,264
R Packages
223,360
Dependencies
70,244
Author Associations
26,265
Publication Badges
