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Genetic prediction of quantitative traits: a machine learner's guide focused on height
Machine learning and deep learning have been celebrating many successes in the application to biological problems, especially in the domain of protein folding.
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020
This report is an account of the authors' experiences as organizers of WiML's "Un-Workshop" event at ICML 2020.
Topological Data Analysis of copy number alterations in cancer
Identifying subgroups and properties of cancer biopsy samples is a crucial step towards obtaining precise diagnoses and being able to perform personalized treatment of cancer patients.
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