Statistics

GNN#

• framework: Pytorch Geometric

  • Supports Homogeneous and heterogeneous GNNs
  • Multiple GNN blocks available
  • Explainability pipelines included
  • Well-documented

• LEarning Ressources

  • Basics of GNNs : Sanchez-Lengeling et al. A Gentle Introduction to Graph Neural Networks"; Distill 2021
  • Bioinformatics Applications : Zhang et al. "Graph Neural Netorks and their current applications in bioinformatics", Front. Genet. 2021
  • Network Biology : Zitnil et al. "Current and future directions in network biology" 2023

Shapiro / Wilcoxon / Student#

One common activity in statistics is to test if two independant samples are different between each other.

• First we must check if the distribution follow the Normal distribution with Shapiro test. Depending this result we will not apply the same test.
• If test is significant => does not follow the Normal distribution, we must then use the Wilcoxon test.
• If test not significant => the data follow normal distribution, we must use the Student test. (N>=20)

General Ressources#

• seeing-theory - A visual introduction to probability and statistics
• Modern Statistics for Modern Biology
• Scientists rise up against statistical significance
• methodologie - fr
• bioinfo-fr - fr
• Introduction aux Statistiques - fr