Biology Data Analysis

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Example Case Study

This a example case study to help you better understand data analysis.

 

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1. Statistics background

1.1  null hypothesis & p-value

1.2 regression coefficient / beta / slope

1.3 mean value / standard deviation / standard error / r squared

2. Method used

2.1  basic concepts (mendelian randomization for example)

2.1.1 MR Egger

2.1.2 Weighted median

2.1.3 Inverse variance weighted

2.1.4 Simple mode

2.1.5 Weighted mode

2.2 Data types

2.2.1 Continuous Variable

2.2.2 Binary Variable

2.2.3 T-test

2.2.4 U-test

2.2.5 Beta regression

2.3 Advanced concepts

2.3.1 Bidirectional Mendelian Randomization

2.3.2 Mendelian Randomization with Multiple Exposures and Multiple Outcomes，MR-MEMO

3. Data Preprocessing

3.1 Handle CSV files

3.2 Where to get original data

3.3 How to choose data

3.4 How to find your hypothesis

4. Experiments

4.1 Install Python Package

4.2 Functions could be used

4.3 Write your own code for your experiment design

4.4 How to evaluate the performance

5. Results and visualization

5.1 mr_scatter_plot(mrResult, mrDataFinal)

5.2 mr_forest_plot(mr_singlesnp(mrDataFinal)

5.3 mr_funnel_plot(mr_singlesnp(mrDataFinal)

 

 

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