[Japanese workshop]: Metabolome data analysis using R (Rを用いたメタボロームデータ解析)

[hiroyukiyamamoto]

Contact Details

h.yama2396@gmail.com

Abstract

I will briefly introduce the procedure for mass spectrometry data processing in metabolomics using the R Bioconductor package “XCMS”. And, I will also introduce the procedure for multivariate analysis using R package “loadings”. The “loadings” package can not only visualize metabolome data, but also select significant metabolites using Principal component loadings, Partial least squares loadings and their statistical hypothesis testing.

BioconductorパッケージXCMSを用いた、メタボロミクスにおける質量分析データ処理の手順を簡単に紹介する。次に、Rパッケージloadingsを用いた多変量解析の手順を紹介する。loadingsパッケージは、メタボロームデータを可視化するだけでなく、主成分負荷量やPartial last squares 負荷量とそれらの統計的仮説検定を用いて、有意な代謝物を選択することが出来る。

Language used in the workshop

Japanese

Convenient day for your Long workshop.

Any day will be fine.

いつでも構いません。

Comment field

No response

Checklist

• [X] This workshop has a Bioconductor focus or interest to Bioconductor users/developers.
• [X] I checked and confirmed the BioC Asia 2021 Code of Conduct.
• [X] I understood that it would be desirable for the workshop to be based on this template project.

[kozo2]

@hiroyukiyamamoto Thank you for submitting the abstract. The Assignees will start the review. Once accepted by the Assignees, this issue will be closed and your abstract will be posted on https://biocasia2021.bioconductor.org/ .

[kozo2]

I checked @hiroyukiyamamoto 's abstract and the package and the repository (for non-Bioconductor package).

• https://cran.r-project.org/web/packages/loadings/index.html
• https://github.com/hiroyukiyamamoto/loadings

I accept this abstract. (Please allow me to add the above links when I post your abstract on https://biocasia2021.bioconductor.org/ .) After adding your abstract to https://biocasia2021.bioconductor.org/ , I will send a comment addressed to you again.