Vector Databases for Genomic Foundation Models
Supervisors Johnny Millar, jonathan.millar@ed.ac.uk Ian Simpson, ian.simpson@ed.ac.uk Project Description Large scale genome sequence datasets are[…]
Identifying Mechanistic Patient Sub-Groups Via Their Genomes
Supervisors Konrad Rawlik, Konrad.Rawlik@roslin.ed.ac.uk Ava Khamseh, ava.khamseh@ed.ac.uk Project Description The key challenge of precision medicine[…]
Mining the Multi-Omic Literature
Supervisors Kenny Bailllie, Kenneth Baillie j.k.baillie@ed.ac.uk Mirella Lapata, Maria.Lapata@ed.ac.uk Ian Simpson, ian.simpson@ed.ac.uk Project Description For[…]
Using MAIC for Genomic Embedding
Supervisors Konrad Rawlik, Konrad.Rawlik@roslin.ed.ac.uk Ian Simpson, ian.simpson@ed.ac.uk Project Description This project will establish the foundations[…]
Probabilistic Modelling for the Timing and Consequences of Cancer-Associated Copy Number Alterations
Supervisors Michael Nicholson, michael.nicholson@ed.ac.uk Tibor Antal, tibor.antal@ed.ac.uk Project Description Determining when cancer associated DNA mutations[…]
Representation Learning of Fluxomic Data for Therapy
Supervisors Diego Oyarzun, d.oyarzun@ed.ac.uk Oisin Mac Aodha, oisin.macaodha@ed.ac.uk Project Description The project aims to improve[…]
Epigenetic Profiling Of Environmental Exposure Stress Using AI
Supervisors Dr Sari Pennings, Sari.Pennings@ed.ac.uk Dr Robert Illingworth, robert.illingworth@ed.ac.uk Project Description Air pollution and its[…]
AI-Based Pathway Visualisation
Supervisors Igor Goryanin, goryanin@ed.ac.uk Shay Cohen, scohen@inf.ed.ac.uk Project Description The explosion of high-throughput data-acquiring techniques[…]
Engineering A Tissue-Specific Imputation Panel For The Human Methylome
Supervisors Riccardo Marioni, riccardo.marioni@ed.ac.uk Daniel McCartney, daniel.mccartney@ed.ac.uk Project Description Genetic and genomic data are[…]
Inferring Cell State In Disease Progression From Gene Expression Data Using Tractable Deep Probabilistic Models
Supervisors Ava Khamseh, ava.khamseh@ed.ac.ukAntonio Vergari, avergari@exseed.ed.ac.ukSjoerd Beentjes, Sjoerd.Beentjes@ed.ac.uk Project Description In this cross-disciplinary project[…]
This work is supported by the United Kingdom Research and Innovation (grant EP/Y030869/1).
© 2024 UKRI AI CDT in Biomedical Innovation. Created for free using WordPress and Kubio