Gene Expression Analysis with KNIME Analytics Platform

Gene expression analysis is widely used in bioinformatics because it enables researchers to find gene products with increased or decreased synthesis in individuals with particular diseases, for example. In this webinar, we find and annotate differentially expressed genes from tumors as well as matched normal tissue from patients with oral squamous cell carcinomas. For this, we make use of KNIME’s openness for other tools which enables us to use our favourite R library, extract data from Google’s BigQuery and use shared components to customize our analysis. The talk is presented by Jeanette Prinz and Temesgen H. Dadi. Jeany is Head of the Life Science team at KNIME and Temesgen is a data scientist whose focus is on Life Science.