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]
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 05 May. 2025.
Previous versions and publish date:
No previous versions
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
04/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/04Downloads for MetProc024681012141618TrendBars

Today's Hot Picks in Authors and Packages

helloJavaWorld  
Hello Java World
A dummy package to demonstrate how to interface to a jar file that resides inside an R package. ...
Download / Learn more Package Citations See dependency  
ClickHouseHTTP  
A Simple HTTP Database Interface to 'ClickHouse'
'ClickHouse' () is an open-source, high performance columnar OLAP (online ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
aspline  
Spline Regression with Adaptive Knot Selection
Perform one-dimensional spline regression with automatic knot selection. This package uses a penali ...
Download / Learn more Package Citations See dependency  
frailtypack  
Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
The following several classes of frailty models using a penalized likelihood estimation on the hazar ...
Download / Learn more Package Citations See dependency  
affinitymatrix  
Estimation of Affinity Matrix
Tools to study sorting patterns in matching markets and to estimate the affinity matrix of both the ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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