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How to deal with lipidomics data?

The Lipidomics Webinar | Mathias Gerl

Knowledge about statistical and data analysis methods tailored for lipid data is key to successful lipidomics studies.

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Join us for our webinar and get in touch with our staff or experts, admission free.

Details

Tuesday, April 23, 2024
Time: 5:00 pm Europe/Berlin
Duration: 30 min + Q&A
Media: Zoom App
Registration needed!

Need more info?

media@lipotype.com

Topic

In this webinar, we will explore key statistical and data analysis methods applied to lipidomics studies. Dr. Mathias Gerl, the Head of Data Science, will guide you through the crucial techniques, starting from the data imputation methods to address missing data points in obtained datasets. We further will cover statistical comparison options for lipidomics datasets and talk about the enrichment analysis. Finally, we will discuss Weighted Correlation Network Analysis (WGCNA), Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), and power analysis applications to lipidomics datasets.

Here is what you can learn

• Imputation
• OPLS-DA
• WGCNA
• Power analysis

Sharing our secrets
After the webinar, our experts will be
happy to answer your questions.

Date and Time

Tuesday
April 23, 2024
5:00 pm Europe/Berlin

Join us via Zoom App

Recording will be available
7 days after the webinar

Your Hosts


Dr. Mathias Gerl
Head of Data Science

Dr. Gerl received his PhD on lipidomics and cell biology. Now he is passionate about finding meaning in large datasets. As Head of Data Science, Mathias leads the data science team performing statistical inference and predictive modelling.
Dr. Dr. Olya Vvedenskaya, Scientific Communications Officer at Lipotype, Moderator at The Lipidomics Webinar "Exploring Skin Lipidomics & Ceramide Analysis for Skin Research".

Dr. Dr. Olya Vvedenskaya
Sci. Communications Officer at Lipotype

Dr. Olya Vvedenskaya earned both her MD and PhD in the application of mass spectrometry to translational medicine. Olya ensures that all scientific advances from Lipotype reach an interested audience.

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