Biomarker Discovery from Gene Expression: Challenges & Solutions for Success

Since the advent almost 25 years ago of techniques that enable simultaneous measurement of gene expression in a single sample, the use of gene expression profile combinations to understand tumor biology has promised to revolutionize our approach to diagnosis and prognosis in the clinic. However, this potential has yet to be fully realized despite the exponential increase in genomic data during this period.

This webinar explores some of the challenges that have hindered progress and discusses bioinformatics innovations with case study examples that may yet fuel a rise in successful translation of gene signatures into clinical application.

Topics in this presentation include:

• Challenges associated with analyzing gene expression data
• Key study design considerations for biomarker discovery
• Best practices for training and validating a gene expression signature
• Making use of public data repositories and integrating different data types
• Innovative reporting of gene expression signatures using Almac’s proprietary bioinformatics software solution – clara^T

Laura Knight

Global VP Data Sciences, Almac Diagnostic Services