In:
Bioinformatics Advances, Oxford University Press (OUP), Vol. 2, No. 1 ( 2022-01-10)
Abstract:
metabolomicsR is a streamlined, flexible and user-friendly R package to preprocess, analyze and visualize metabolomic data. metabolomicsR includes comprehensive functionalities for sample and metabolite quality control, outlier detection, missing value imputation, dimensional reduction, batch effect normalization, data integration, regression, metabolite annotation and visualization of data and results. In this application note, we demonstrate the step-by-step use of the main functions from this package. Availability and implementation The metabolomicsR package is available via CRAN and GitHub (https://github.com/XikunHan/metabolomicsR/). A step-by-step online tutorial is available at https://xikunhan.github.io/metabolomicsR/docs/articles/Introduction.html. Supplementary information Supplementary data are available at Bioinformatics Advances online.
Type of Medium:
Online Resource
ISSN:
2635-0041
DOI:
10.1093/bioadv/vbac067
Language:
English
Publisher:
Oxford University Press (OUP)
Publication Date:
2022
detail.hit.zdb_id:
3076075-6
