Written by Charlotte Harrison, Science Writer A paper in BMC Bioinformatics has tested the applicability of machine learning methods to […]
Written by Vered Smith, Science Writer A recent review has detailed five common pitfalls that occur when applying machine learning […]
Identifying whether specific mutations in cancer genes have an impact on tumour formation is a largely unsolved problem in the […]
The FAIR principles should be applied to both human- and machine-driven activities. Humans have an understanding of the meaning of […]
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 […]
