rc.feature.normalize.tic: rc.feature.normalize.tic
In RAMClustR: Mass Spectrometry Metabolomics Feature Clustering and Interpretation

View source: R/rc.feature.normalize.tic.R

rc.feature.normalize.tic

R Documentation

rc.feature.normalize.tic

Description

extractor for xcms objects in preparation for clustering

Usage

rc.feature.normalize.tic(ramclustObj = NULL)

Arguments

ramclustObj

ramclustObj containing MSdata with optional MSMSdata (MSe, DIA, idMSMS)

Details

This function offers normalization by total extracted ion signal. it is recommended to first run 'rc.feature.filter.blanks' to remove non-sample derived signal.

Value

ramclustR object with total extracted ion normalized data.

Author(s)

Corey Broeckling

References

Broeckling CD, Afsar FA, Neumann S, Ben-Hur A, Prenni JE. RAMClust: a novel feature clustering method enables spectral-matching-based annotation for metabolomics data. Anal Chem. 2014 Jul 15;86(14):6812-7. doi: 10.1021/ac501530d. Epub 2014 Jun 26. PubMed PMID: 24927477.

RAMClustR documentation built on Oct. 20, 2023, 5:08 p.m.