OxWaSP Micro-projects

OxWaSP Group Projects as part of the First Year of CDT training.

1. Computational Statistics and Statistical Computing

Project: Network Structure from Rich but Noisy Data

Module 1 Report

Module 1 Presentation

Module 1 R Package

2. Probability and Approximation

Project: Growth Rates for Populations in Random Environments

Module 2 Report

Module 2 Presentation

Module 2 R Code

3. Applied Statistics

Project: Colon Cancer Subtypes from Gene Expression Data

Module 3 Report

Module 3 Presentation

Module 3 R Package

4. Network Analysis

Project: Methods for Paired Comparisons with Ties

Module 4 Report

Module 4 Presentation

Module 4 R Code

5. Time Series and Stochastic Processes

Project: Indian Buffet Process with Power-law Behaviour

Module 5 Report

Module 5 Presentation

Module 5 Python Code

6. Bayesian Inference

Project: Approximate Bayesian Computation (ABC) for Model Selection

Module 6 Report

Module 6 Presentation

7. Stochastic Simulation

Project: A Sequential Monte Carlo Approach to Gene Expression Deconvolution

Module 7 Report

Module 7 Presentation

Module 7 R Code

8. Machine Learning

Project: Non-linear Dimensionality Reduction using the Gaussian Process Latent Variable Model (GPLVM)

Module 8 Report (Jupyter Google Colab notebook)

Module 8 Presentation

Module 8 Python Code