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Course together with select biosciences |
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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
Register here
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