Maximum Likelihood

For queries about this topic, contact Anish Pandey.

Projects

Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction

Mahesan Niranjan, Andrew Collins, Reuben Pengelly (Investigators)

This PhD project uses a Monte Carlo molecular simulation processes approach to predict which genes are involved in the development of different diseases.

Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction

Andrew Collins, Mahesan Niranjan, Reuben Pengelly (Investigators), Alejandra Vergara Lope

This iPhD project uses a Gaussian Bayesian Networks approaches framework through machine learning approach to predict which genes are involved in the development of different diseases.

Studying microevolution in clinical isolates of Neisseria lactamica

Robert Read (Investigator), Jay Laver, Anish Pandey

We intranasally infected and successfully colonised six volunteers with Neisseria lactamica, a commensal species genetically similar to Neisseria meningitidis. A bioinformatics approach was then used to understand the microevolution of this bacterium and its adaptations to the nasopharynx.

People

Andrew Collins
Professor, Medicine (FM)

Mahesan Niranjan
Professor, Electronics and Computer Science (FPAS)

Robert Read
Professor, Medicine (FM)

Reuben Pengelly
Senior Lecturer, Medicine (FM)

Jay Laver
Senior Research Fellow, Medicine (FM)

Petros Bogiatzis
Research Fellow, Ocean & Earth Science (FNES)

Jamie Caldwell
Postgraduate Research Student, Engineering Sciences (FEE)

Daniel Cernin
Postgraduate Research Student, Mathematics (FSHS)

Anish Pandey
Postgraduate Research Student, Medicine (FM)

Gregory Parkes
Postgraduate Research Student, Electronics and Computer Science (FPAS)

Alejandra Vergara Lope
Postgraduate Research Student, Engineering Sciences (FEE)

Daisuke Sasaki
None, None