CSC-315 Course Notes Module 1: Course Introduction R Script: R Basics R Script: Dataframes Module 2: Graphical and Numerical Summaries R Script: ggplot R Script: Graphical Summaries R Script: Numerical Summaries R Script: Percentiles Alcohol Figure Module 3: Association: Contingency, Correlation, and Regression R Script: Associations R Script: Correlation and Regression Extrapolation Examples Advanced R Script Module 4: Probability R Script: Probability Birthday R script R Script: Normal Distribution R Script: Practice / Review R Script: Sampling Distributions Module 5: Hypothesis Testing R Script: Hypothesis Testing Hypothesis Testing Explanation R Script: Dogs Example R Script: Hypothesis Test for Two Sample Proportions Background: Two-Sample Prop Test R Script: T Distribution and T-Test Hypothesis Overview Formula Sheet R Script: Two-sample t-test Module 6: Gene Expression Module 7: RNA-seq Read Count Example Common Normalization Methods RPKM/FPKM and TPM Formulas R Script: Normalization (old school) R Script: Xena Module 7: TMM and Limma R Script: Contrasts R Script: TMM and Limma | R Script: FDR Module 9: Why TMM and Limma Module 10: Functional Annotation R Script: DAVID Module 11: Bioinformatics Wrap-Up Movies R script Click to view all notes