Browsing School of Biological and Chemical Sciences by Subject "machine learning"
Now showing items 1-5 of 5
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Automated and reproducible cell identification in mass cytometry using neural networks
(Oxford University Press, 2023)The principal use of mass cytometry is to identify distinct cell types and changes in their composition, phenotype and function in different samples and conditions. Combining data from different studies has the potential ... -
Deep Learning in Population Genetics
(2023) -
Finding a Husband: Using Explainable AI to Define Male Mosquito Flight Differences.
(2023-03-24)Mosquito-borne diseases account for around one million deaths annually. There is a constant need for novel intervention mechanisms to mitigate transmission, especially as current insecticidal methods become less effective ...