Keywords: machine learning, deep-learning, patient stratification, data reduction and correlation

Methods:

• Data reduction and correlation
  • PCA, PLS, t-SNE, LASSO,..; 
  • Canonical correlation;
• Unsupervised clustering:
  • Bayesian modeling;
  • Gaussian Mixture models;
  • Dirichlet processes;
  • Graph-based methods, Community detection; 
  • Outlier detection;
• Supervised learning:
  • Random Forests, SVM, ...;
  • Survival models;
  • Regression;
• Deep-learning
  
  • Feature extraction, segmentation, classification and regression;
  • Adversarial models and GAN;
  • Activation maps, uncertainty maps,...

   

  Programming languages:

  Python, R, Pytorch, Keras

  Points of contact:

  • Dr Elsa Angelini
  • Dr Sam Greenbury
  • Dr Paul Blakeley