Other packages > Find by keyword >

MetProc  

Separate Metabolites into Likely Measurement Artifacts and True Metabolites
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MetProc", "1.0.1")



Attach the package and use:
library("MetProc")
Maintained by
Mark Chaffin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-19
Latest Update: 2016-05-19
Description:
Split an untargeted metabolomics data set into a set of likely true metabolites and a set of likely measurement artifacts. This process involves comparing missing rates of pooled plasma samples and biological samples. The functions assume a fixed injection order of samples where biological samples are randomized and processed between intermittent pooled plasma samples. By comparing patterns of missing data across injection order, metabolites that appear in blocks and are likely artifacts can be separated from metabolites that seem to have random dispersion of missing data. The two main metrics used are: 1. the number of consecutive blocks of samples with present data and 2. the correlation of missing rates between biological samples and flanking pooled plasma samples.
How to cite:
Mark Chaffin (2016). MetProc: Separate Metabolites into Likely Measurement Artifacts and True Metabolites. R package version 1.0.1, https://cran.r-project.org/web/packages/MetProc. Accessed 01 Sep. 2026.
Previous versions and publish date:
1.0.1 (2016-05-19 05:46), (2026-07-09 08:10)
Other packages that cited MetProc R package
View MetProc citation profile
Other R packages that MetProc depends, imports, suggests or enhances
Complete documentation for MetProc
Functions, R codes and Examples using the MetProc R package
Some associated functions: MetProc-package . corr_metric . get_group . get_missing . heatmap_res . met_proc . plot_metric . plot_pp_sample_missing . read.met . run_metric . sampledata . subset_met . write.met . 
Some associated R codes: functions_cleane.R .  Full MetProc package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

flood  
Statistical Methods for the (Regional) Analysis of Flood Frequency
Includes several statistical methods for the estimation of parameters and high quantiles of river fl ...
Download / Learn more Package Citations See dependency  
markets  
Estimation Methods for Markets in Equilibrium and Disequilibrium
Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
reproj  
Coordinate System Transformations for Generic Map Data
Transform coordinates from a specified source to a specified target map projection. This uses the ' ...
Download / Learn more Package Citations See dependency  
fANCOVA  
Nonparametric Analysis of Covariance
A collection of R functions to perform nonparametric analysis of covariance for regression curves o ...
Download / Learn more Package Citations See dependency  

28,400

R Packages

239,283

Dependencies

75,283

Author Associations

28,401

Publication Badges

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