• LipidR - a Commentary on a Lip...

*Result*: LipidR - a Commentary on a Lipidomics Software Platform Useful for Potential Liquid Biopsies Data Analysis.

Title:
LipidR - a Commentary on a Lipidomics Software Platform Useful for Potential Liquid Biopsies Data Analysis.
Authors:
Shen F; Department of Laboratory Medicine, University of Alberta, Edmonton, AB, Canada., Sergi CM; Department of Laboratory Medicine, University of Alberta, Edmonton, AB, Canada csergi@cheo.on.ca.; Children's Hospital of Eastern Ontario, University of Ottawa, Ottawa, ON, Canada.
Source:
Annals of clinical and laboratory science [Ann Clin Lab Sci] 2023 Jul; Vol. 53 (4), pp. 503-506.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Institute for Clinical Science Country of Publication: United States NLM ID: 0410247 Publication Model: Print Cited Medium: Internet ISSN: 1550-8080 (Electronic) Linking ISSN: 00917370 NLM ISO Abbreviation: Ann Clin Lab Sci Subsets: MEDLINE
Imprint Name(s):
Original Publication: Philadelphia, Institute for Clinical Science.
MeSH Terms:
Lipidomics* , Data Analysis*, Humans ; Data Mining ; Liquid Biopsy ; Software
Entry Date(s):
Date Created: 20230825 Date Completed: 20230828 Latest Revision: 20230828
Update Code:
20260130
PMID:
37625830
Database:
MEDLINE

*Further Information*

*LipidR is a recent software platform that uses R. This commentary briefly reviews the data published in the literature using this new tool for data mining and analyzing lipidomics datasets. This software is maintained by the R Foundation specifically for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. LipidR is a novel open-source R package with enormous functionalities. LipidR filled three significant gaps in lipidomics. First, LipidR has the potential to mine public lipidomics datasets more efficiently and effectively. Second, the deconstructing function of the lipid name is unique to LipidR. Third, the adjustment for confounding factors, which is required for complex clinical lipidomic profiles, is implemented in LipidR. We expect LipidR will be crucial in analyzing lipidomic profiles of liquid biopsies in the near future.
(© 2023 by the Association of Clinical Scientists, Inc.)*