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
