[R-sig-eco] Course - Metabolomics in R/Bioconductor

[i@io m@iii@g oii phys@ii@-courses@org]

Dear all,

there are only 3 seats left for our upcoming course, "Metabolomics in R/Bioconductor: from study design to data analysis," which is set to take place from October 23-26, 2023. To facilitate global participation, this course will be conducted online.
 
 
 
Course website: [ https://www.physalia-courses.org/courses-workshops/course55/ ]( https://www.physalia-courses.org/courses-workshops/course55/ ) 

The primary goal of this course is to explore the essential facets of metabolomics from a data analyst's perspective. We will delve into critical considerations for launching a successful metabolomics study, covering everything from practicalities related to study and analytical design to data preprocessing and statistical analysis. Our teaching approach will incorporate a mix of engaging lectures, hands-on computer-based exercises, and group discussions.

Participants will leave this course equipped with the skills to confidently analyse metabolomic data, whether targeted or untargeted, using R. Additionally, the course will serve as an excellent primer for applying univariate and multivariate statistics to complex datasets.

For the full list of our courses and Workshops, please have a look at: [ https://www.physalia-courses.org/courses-workshops ]( https://www.physalia-courses.org/courses-workshops )
 

Best regards,
 
Carlo
 
 
 
 
 
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Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

info using physalia-courses.org

mobile: +49 17645230846

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