MOBSTER – model-based clustering in cancer, is a machine learning tool that incorporates theoretical population genetics from Darwin to examine […]
Single nucleotide variants (SNVs) are implicated in about half of all genetic diseases and so, accurately targeting and editing these […]
We live in a world that is being run by data, an immense amount of data. Today, we can collect […]
We know from twin studies that Schizophrenia carries a 80% heritability risk, but haven’t yet managed to deduce exact genetic […]
Professor of Bioinformatics, Director, the Centre for Translational Bioinformatics, William Harvey Research Institute, Queen Mary University of London Co-Investigator, Health […]
Dennis graduated from the University of British Columbia (Vancouver, Canada) with a BSc in Computer Science, Microbiology and Immunology. He […]
A recent study has explored the role of deep learning as a tool for rapid mutational screening in melanoma. Detecting […]
As genomic sequencing becomes more routine, handling the sheer volume of data being produced is causing major issues. We must […]
The international neoantigen initiative Tumour Neoantigen Selection Alliance (TESLA) has identified key parameters for immunotherapy advancement. Neoantigens Somatic alterations are […]
Making Space for Biomarker Data Clinical research, particularly cancer diagnostics, has seen an explosion in the collection of biomarker data […]
