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  • Analysis Using R

    • Analysis Using R icon.
  • I Introduction
  • Workshop Info
    • Schedule
    • Pre-work
  • Meet Your Faculty
  • Data
  • II Modules
  • Module 1: Exploratory Data Analysis and Clustering
    • Lecture
    • Lab
      • Load mouse Data
      • Correlations, Distances, and Clustering
      • Hierarchical Clustering
      • K-means Clustering
      • Using clValid to Determine Number of Clusters
      • Bonus Exercise
      • Bonus Exercise Results
  • Module 2: Dimensionality Reduction
    • Lecture
    • Lab
      • Principal Component Analysis
      • t-Distributed Stochastic Neighbor Embedding (t-SNE)
      • Uniform Manifold Approximation and Projection (UMAP)
      • Bonus Exercise
      • Bonus Exercise Results
  • Module 3: Generalized Linear Models
    • Lecture
    • Lab
      • Essential R: Reading Tables From Files, Merging, Basic Data Exploration
      • Explore Missing Data
      • Essential R: Plots with ggplot2
      • Fit Binary Response Variable Using glm() and Logistic Regression
      • Bonus Exercise
      • Bonus Exercise Results
  • Module 4: Finding Differentially Expressed Genes From RNAseq Data
    • Lecture
    • Lab
      • Volcano Plot (R base graphics)
      • Volcano Plot (ggplot2)
      • Bonus Exercise
      • Bonus Exercise Results

  • Sponsors

    Genome Canada logo. Ontario Genomics logo.

    Ontario Institute for Cancer Research logo. HPC4Health logo.

    Canadian Centre for Computational Genomcis logo.
  • Published with bookdown

Analysis Using R 2024

Data

Course Data Downloads

mouse_pheno.txt
titanic.csv
tomerge1.csv
tomerge2.txt