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William Dee
William Dee
Department of Bioinformatics, School of Biological and Behavioural Sciences, Queen Mary University
Verified email at se21.qmul.ac.uk
Title
Cited by
Cited by
Year
LMPred: Predicting antimicrobial peptides using pre-trained language models and deep learning
W Dee
Bioinformatics Advances 2 (1), vbac021, 2022
142022
Histopathological Domain Adaptation with Generative Adversarial Networks-Bridging the Domain Gap Between Thyroid Cancer Histopathology Datasets
W Dee, R Alaaeldin Ibrahim, E Marouli
bioRxiv, 2023.05. 22.541691, 2023
22023
Cell-Vision Fusion: A Swin Transformer-based Approach to Predicting Kinase Inhibitor Mechanism of Action from Cell Painting Data
W Dee, I Sequeira, A Lobley, G Slabaugh
bioRxiv, 2023.12. 13.571534, 2023
2023
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Articles 1–3