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 06 Jun. 2026.
Previous versions and publish date:
1.0.1 (2016-05-19 05:46)
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

rwavelet  
Wavelet Analysis
Perform wavelet analysis (orthogonal,translation invariant, tensorial, 1-2-3d transforms, thresholdi ...
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  
worrrd  
Generate Wordsearch and Crossword Puzzles
Generate wordsearch and crossword puzzles using custom lists of words (and clues).Make them easy or ...
Download / Learn more Package Citations See dependency  
BALLI  
Expression RNA-Seq Data Analysis Based on Linear Mixed Model
Analysis of gene expression RNA-seq data using Bartlett-Adjusted Likelihood-based LInear model (BALL ...
Download / Learn more Package Citations See dependency  
odbc  
Connect to ODBC Compatible Databases (using the DBI Interface)
A DBI-compatible interface to ODBC databases. ...
Download / Learn more Package Citations See dependency  
IAPWS95  
Thermophysical Properties of Water and Steam
An implementation of the International Association for the Properties of Water (IAPWS) Formulation ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

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