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0. Statistics

Terms of statistics

0.1 Concepts of Statistics

1. Inferential v.s. Descriptive Statistics
2. Hypothesis testing
   p-value
3. Selecting appropriate probability distributions
4. Sampling and resampling
5. Parametric v.s. nonparametric statistics
6. Bayesian v.s. Frequentist statistics

0.2 Dive into the history of statistics!

1. The Most-Cited Statistical Papers
2. List of important publications in statistics

0.3 Statistics Random Pebbles

Fonts for math Basic math symbols

1. Machine Learning

1.1 Unsupervised Machine Learning

1.1.1 Clustering

• Types of clustering methods
• Clustering metrics

1.1.2 Dimensionality Reduction

• Different dimensionality reduction techniques

1.2 Supervised Machine Learning

1.2.1 Regression

1.2.2 Classification

• Types of classification methods
• Classification metrics
• Class imbalance

1.3 Semisupervised Learning

1.4 Reinforcement Learning

1.5 Neural Networks

1.5.1 Types of neural networks

1.6 Building Knowledge network

1.6.1 Causal Inference

• Causal Inference Methodology

1.6.2 Text mining

1.7 Machine Learning Random Pebbles

1.7.1 Machine Learning Reading List

• Top 20 recent papers
• Machine Learning Glossary

1.7.2 Machine Learning Notes

• Reading Notes
• Mooc Courses

2. NGS (Next Generation Sequencing)

2.0 Reference Genome

• ReferenceGenome

  2.1 Pre Processing

• Quality Control
• Alignment

  2.3 Downstream process

• Target Gene Selection

3. Single Cell

3.1 Pre Processing

• Quality Control and Adjustment
• Denosing
• Batch Effect Removal
• Alignment

3.2 Basic analysis

• Differential analysis

3.3 Mechanistic Analysis

• Regulon Analysis
• Single cell signature

3.4 Single Cell Random Pebbles

Single Cell Reading List
- Census

Resources
- National Bioinformatics Infrastructure Sweden scRNAseq workshop - ChanZuckerberg scRNA python workshop

Resources

• Statistics Resources
• Bioinformatics webservers