ABI Bioinformatics Guide 2024
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  • INTRODUCTION
  • MOLECULAR BIOLOGY
  • PROGRAMMING
  • STATISTICS: THEORY
    • Introduction to Probability
    • Random Variables
    • Data distribution PMF, PDF, CDF
    • Mean, Variance of a Random Variable
    • Some Common Distributions
    • Exploratory Statistics: Mean, Median, Quantiles, Variance/SD
    • Data Visualization
    • Confidence Intervals
    • Comparison tests, p-value, z-score
    • Multiple test correction: Bonferroni, FDR
    • Regression & Correlation
    • Dimentionality Reduction
      • PCA (Principal Component Analysis)
      • t-SNE (t-Distributed Stochastic Neighbor Embedding)
      • UMAP (Uniform Manifold Approximation and Projection)
    • QUIZ
  • STATISTICS & PROGRAMMING
  • BIOINFORMATICS ALGORITHMS
  • NGS DATA ANALYSIS & FUNCTIONAL GENOMICS
  • FINAL REMARKS
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  1. STATISTICS: THEORY

Dimentionality Reduction

PCA (Principal Component Analysis)t-SNE (t-Distributed Stochastic Neighbor Embedding)UMAP (Uniform Manifold Approximation and Projection)
PreviousRegression & CorrelationNextPCA (Principal Component Analysis)

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