Webinar Ensuring Enhanced Visualization and Faithful Modeling Results

Ensuring Enhanced Visualization and Faithful Modeling Results in Omics Through Multivariate Data Analysis

Multivariate data analysis (MVDA) is an indispensable method for visualizing and modeling Omics data, ensuring faithful results and providing robust visualization capabilities for model interpretation. In this webinar, several applications of MVDA to Omics in Agricultural research will be showcased.

The talk will include:

Metabolomic analytical quality control
LC-MS/GCMS Metabolomic analysis of Tomato ripening
Combining metabolomics and microarray data
Discrimination of seed lines and plant genotypes using NIR spectroscopy
Exploratory toxicology using Cell Painting, a relatively new method of imaging human cell lines after exposure to chemicals as a predictor of toxicity.

The value of interactive point-and-click software such as SIMCA^® in data exploration will be demonstrated, highlighting its role in enhancing visualization and interpretation of complex models.

What You Will Learn:

Discover how MVDA provides powerful insights in Omics in Agricultural research
Learn how MVDA provides faithful results in data analysis of omics data
Realize the value of Metabolomic analytical quality control

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Presenter

Presented by Mark Earll, a Leading Analytical Scientist at Syngenta Jealott’s Hill International Research Centre in the UK, this webinar will draw on his vast experience in multivariate data analysis, particularly in omics disciplines, as he leads an internal Chemometrics network promoting the use of MVDA and DOE across the organization.