Other packages > Find by keyword >

BootstrapQTL  

Bootstrap cis-QTL Method that Corrects for the Winner's Curse
View on CRAN: Click here


Download and install BootstrapQTL package within the R console
Install from CRAN:
install.packages("BootstrapQTL")

Install from Github:
library("remotes")
install_github("cran/BootstrapQTL")

Install by package version:
library("remotes")
install_version("BootstrapQTL", "1.0.5")



Attach the package and use:
library("BootstrapQTL")
Maintained by
Scott Ritchie
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-22
Latest Update: 2021-05-12
Description:
Identifies genome-related molecular traits with significant evidence of genetic regulation and performs a bootstrap procedure to correct estimated effect sizes for over-estimation present in cis-QTL mapping studies (The "Winner's Curse"), described in Huang QQ *et al.* 2018 .
How to cite:
Scott Ritchie (2018). BootstrapQTL: Bootstrap cis-QTL Method that Corrects for the Winner's Curse. R package version 1.0.5, https://cran.r-project.org/web/packages/BootstrapQTL. Accessed 03 Feb. 2025.
Previous versions and publish date:
1.0.2 (2018-09-22 00:30)
Other packages that cited BootstrapQTL R package
View BootstrapQTL citation profile
Other R packages that BootstrapQTL depends, imports, suggests or enhances
Complete documentation for BootstrapQTL
Functions, R codes and Examples using the BootstrapQTL R package
Some associated functions: BootstrapQTL . 
Some associated R codes: BootstrapQTL.R . mult_test.R . utils.R . winners_curse.R .  Full BootstrapQTL package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

flowTraceR  
Tracing Information Flow for Inter-Software Comparisons in Mass Spectrometry-Based Bottom-Up Proteomics
Useful functions to standardize software outputs from ProteomeDiscoverer, Spectronaut, DIA-NN and Ma ...
Download / Learn more Package Citations See dependency  
INLABMA  
Bayesian Model Averaging with INLA
Fit Spatial Econometrics models using Bayesian model averaging on models fitted with INLA. The INLA ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
PERMANOVA  
Multivariate Analysis of Variance Based on Distances and Permutations
Calculates multivariate analysis of variance based on permutations and some associated pictorial rep ...
Download / Learn more Package Citations See dependency  
mscp  
Multiscale Change Point Detection via Gradual Bandwidth Adjustment in Moving Sum Processes
Multiscale moving sum procedure for the detection of changes in expectation in univariate sequences. ...
Download / Learn more Package Citations See dependency  
copulaboost  
Fitting Additive Copula Regression Models for Binary Outcome Regression
Additive copula regression for regression problems with binary outcome via gradient boosting [Bran ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA