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
Professor, Medicine (FM)
Professor, Electronics and Computer Science (FPAS)
Professor, Medicine (FM)
Senior Lecturer, Medicine (FM)
Senior Research Fellow, Medicine (FM)
Research Fellow, Ocean & Earth Science (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Mathematics (FSHS)
Postgraduate Research Student, Medicine (FM)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
None, None