11-12 June 2024
10 am - 5 pm
Instructors: Rosie Eccleston, Ben King
Helpers: Sam Haynes, Diego Chillón, Mario Antonioletti, Rosie Eccleston, Ben King
High-Dimensional Statistics with R
This course is intended for those who have a working knowledge of statistics and linear models with R and wish to learn high-dimensional statistical methods with R.
This is a short course aimed at familiarising learners with statistical and computational methods for the extremely high-dimensional data commonly found in biomedical and health sciences (e.g., gene expression, DNA methylation, health records). These datasets can be challenging to approach, as they often contain many more features than observations, and it can be difficult to distinguish meaningful patterns from natural underlying variability. To this end, we will introduce and explain a range of methods and approaches to disentangle these patterns from natural variability. After completion of this course, learners will be able to understand, apply, and critically analyse a broad range of statistical methods. In particular, we focus on providing a strong grounding in high-dimensional regression, dimensionality reduction, and clustering.
Ed-DaSH
Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. This ED-DaSH workshop has been adopted into the Edinburgh Carpentries DUSC programme.
Where: Digital Scholarship Centre located on Floor 6 of UoE Library.. Get directions with OpenStreetMap or Google Maps.
When: 11-12 June 2024. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email andrzej.romaniuk@ed.ac.uk for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
The lesson taught in this workshop is being piloted and a precise schedule is yet to be established.
| Pre-workshop Setup | |
| Lessons | |
| High-Dimensional Statistics with R | Introduction |
| Regression with many features | |
| Regularised regression | |
| Break | |
| Lunch | 13:00-14:00 |
| Lessons | |
| High-Dimensional Statistics with R | Principal component analyses |
| Factor analysis | |
| K-means clustering | |
| Hierarchical clustering | |
| Break | |
| Lunch | 13:00-14:00 |
To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
Please check the “Setup” page of the lesson site for instructions to follow to obtain the software and data you will need to follow the lesson.