ISC 2026 Short Course 6 - Statistical Analysis and Visualization of Quantitative LC/MS Data in R
International Symposium on Chromatography: ISC 2026 Short Course 6 - Statistical Analysis and Visualization of Quantitative LC/MS Data in R
ISC 2026
The International Symposium on Chromatography (ISC) represents the oldest conference series on separation science. ISC symposia have been organised since 1956 in each even year. ISC is one of the premier meetings series for discussion of all modes of chromatography and separation science with a broad coverage of techniques and applications.
The major focus of the symposium will be on the impact of chromatography and separation science to meet the needs of the pharmaceutical, environmental, food and health industry, as well as science and medicine. The symposium programme will reflect these themes and highlight new challenges and emerging opportunities for the science and marketing of separation and detection systems and methods.
As an integral part of the scientific programme of lectures and poster sessions, an international exhibition and vendor seminars on instrumentation and services for chromatography, separation science and mass spectrometry will be organised. ISC 2026 will provide the perfect forum for attendees from academia, industry and government research institutions for scientific exchange and networking.
ISC 2026 SYMPOSIUM KEY DATES
6-10 SEPTEMBER 2026
- 15 January 2026: Opening of Early-bird Registration & Abstract submission
- 11 March 2026: Deadline for abstract submission (orals)
- 21 April 2026: Sending acceptance letters (orals)
- 15 May 2026: Deadline of early-bird registration and payment & Author registration deadline (orals)
- 1 June 2026: Preliminary detailed program on web
- 1 June 2026: Deadline for abstract submission (posters)
- 16 June 2026: Sending acceptance letters (posters)
- Authors who submit their abstracts with a poster preference by 5 May 2026 will be notified of the outcome by 12 May 2026 and will have the opportunity to register at the early-bird rate until 15 May 2026.
- 30 June 2026: Author registration deadline (posters)
- 30 July 2026: Deadline for abstract submission (late-breaking posters)
- without the possibility of competing for the Best Poster Award
- 11 August 2026: Sending acceptance letters (late-breaking posters)
- 18 August 2026: Author registration deadline (late-breaking posters)
- 25 August 2026: Deadline for late registration & payment
- 6-10 September 2026: Symposium
REGISTRATION
ABSTRACT SUBMISSION
SCIENTIFIC PROGRAM
SHORT COURSES
SC 6 Statistical Analysis and Visualization of Quantitative LC/MS Data in R
🗓️ SUNDAY, 6 SEPTEMBER 2026
🕗 12:30 – 15:45
Liquid chromatography-mass spectrometry-based large-scale metabolomic and lipidomic studies generate extensive and complex datasets whose rigorous analysis and clear visualization are critical for uncovering biologically meaningful alterations across experimental conditions.
This short course provides a structured introduction to statistical data analysis and visualization in R, offering participants a solid foundation for independent further study. The course begins with guidance on installing and setting up R and RStudio, followed by data import and wrangling, imputation of missing values, transformation and scaling, computation of basic descriptive statistics, and visualization using box plots. Participants will also be introduced to univariate statistical approaches, including t-test, ANOVA, and post-hoc testing, as well as multivariate methods such as principal component analysis (PCA). Attendees will gain practical experience with widely used R libraries, including the tidyverse, rstatix, ggstatsplot, tidyplots, FactoMineR, mixOmics, base R functions, and others.
By the end of the course, participants will be equipped with essential tools to perform basic statistical analyses and generate simple publication-ready visualizations for metabolomic and lipidomic data.
Lecturer
Jakub Idkowiak
- Jakub Idkowiak earned his Ph.D. in analytical chemistry from the University of Pardubice, Czech Republic, under the supervision of Professor Michal Holčapek, focusing on mass spectrometry of lipids and their quantitation in biological matrices. He is currently a research associate in the Laboratory of Lipid Metabolism and Cancer at KU Leuven, Belgium, led by Professor Johannes Swinnen. His research involves developing analytical methods for lipid detection and quantitation using direct infusion mass spectrometry, mass spectrometry imaging, and liquid chromatography–mass spectrometry. He is also interested in statistical analysis, data visualization, and applying -omics technologies to study lipid metabolism in cancer.
ISC 2026: Jakub Idkowiak
