In a recent paper, published in Nature Biotechnology, scientists at the Wellcome Sanger Institute have developed a machine learning tool […]
Written by Miyako Rogers, Science Writer A new study, published in Nature, has identified gene fusions with oncogenic potential in […]
Written by Miyako Rogers, Science Writer Machine learning is being increasingly used in research, but a recent article describes how […]
New multi-omics research has discovered biomarkers that can predict COVID-19 severity in patients. The study, published in The Lancet, coupled […]
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 […]
