In this free webinar, learn how you can identify disease-associated molecules and visualize their biological interactions. Attendees will begin mining and interpreting public gene expression data for deeper insights into cancer biology. The featured speaker will show you how to model upstream regulators and predict functional outcomes within the tumor microenvironment (TME).
TORONTO, Sept. 10, 2025 -- Biopharma researchers and translational scientists are facing a challenge –understanding the tumor microenvironment (TME). The complexity of cellular interactions, variability across patient samples and overwhelming volume of public 'omics data can make it challenging to pinpoint key molecular drivers and predict functional consequences. Building a clear, actionable view of the TME often feels like assembling a puzzle without a reference.
In this webinar, discover how to overcome these challenges by combining expertly curated biological knowledge with powerful predictive modeling tools. Discover a better way to construct molecular networks, interpret gene expression data from the Cancer Genome Atlas, Gene Expression Omnibus and more and predict immune and tumor behavior with upstream regulators. Using examples like Interleukin-1 beta and its role in non-small cell lung cancer (NSCLC), the featured speaker will demonstrate techniques you can use to accelerate discoveries and guide therapeutic insights.
Register for this webinar to learn how predictive modeling and data curation reveal key insights into the TME.
Join Kristin O'Malley, Senior Field Application Scientist, QIAGEN, for the live webinar on Wednesday, October 1, 2025, at 10am EDT (4pm CEST/EU-Central).
For more information or to register for this event, visit Tumor Microenvironment Analysis Using Curated Data and Modeling.
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