ABI Bioinformatics Guide 2024
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  • INTRODUCTIONchevron-right
  • MOLECULAR BIOLOGYchevron-right
  • PROGRAMMINGchevron-right
  • STATISTICS: THEORYchevron-right
    • Introduction to Probabilitychevron-right
    • Random Variableschevron-right
    • 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 Reductionchevron-right
      • PCA (Principal Component Analysis)
      • t-SNE (t-Distributed Stochastic Neighbor Embedding)
      • UMAP (Uniform Manifold Approximation and Projection)
    • QUIZ
  • STATISTICS & PROGRAMMING
  • BIOINFORMATICS ALGORITHMSchevron-right
  • NGS DATA ANALYSIS & FUNCTIONAL GENOMICSchevron-right
  • FINAL REMARKS
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  1. STATISTICS: THEORY

Dimentionality Reduction

PCA (Principal Component Analysis)chevron-rightt-SNE (t-Distributed Stochastic Neighbor Embedding)chevron-rightUMAP (Uniform Manifold Approximation and Projection)chevron-right
PreviousRegression & Correlationchevron-leftNextPCA (Principal Component Analysis)chevron-right

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