TATAA Biocenter qPCR Training Course – Biostatistics

This course is being held in conjunction with the Advances in qPCR conference .

The objective of this course is to provide an understanding of data processing and statistical methods applicable for analysis of data obtained by real-time PCR.
This course is based on seminars and computer-based demonstrations.

Learning Objectives

• How to calculate mean, standard deviation (of sample and population), coefficient of variation, confidence interval, P-value
• How to compare a group of samples with a mean (simple t-test), to compare two groups of samples (unpaired t-test), and group of samples before and after treatment (paired t-test)
• How to compare three or more groups (one way ANOVA), and groups of samples measured before, during and after treatment (repeated measures ANOVA)
• How to study the effect of treatment (linear regression)
• How to compare samples that are not from a Gaussian population (Wilcoxon test, Mann Whitney test)
• How to visualize and interpret real-time PCR expression data of many genes in many samples (principal component analysis)
• How to identify related samples based on real-time PCR expression profiling (Hierarchical clustering)
• How to find response profiles describing samples studied by real-time PCR expression profiling (self-organizing maps)
• How to design real-time PCR expression studies (experimental design)

 
Topics and Course Organization

• Basic principles of statistics
• Advanced principles of statistics
• Overview of statistical tests
• Statistical testing for significant differences
• Pattern recognition and Hierarchical Clustering
• Scatter plot, Principal Component Analysis, Potential Curves, Procrustes Rotation
• Gene expression profiling

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