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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: Mr William Dee

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Dee W, Alaaeldin Ibrahim R, Marouli E ( 2024 ) . Histopathological domain adaptation with generative adversarial networks: Bridging the domain gap between thyroid cancer histopathology datasets . PLOS ONE vol. 19 , ( 12 ) e0310417 - e0310417 .
Wenteler A, Occhetta M, Branson N, Curean V, Huebner M, Dee W, Connell W, Chung SP et al. ( 2024 ) . PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction .
Dee W, Sequeira I, Lobley A, Slabaugh G ( 2024 ) . Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting data . iScience vol. 27 , ( 8 ) Article 110511 , 110511 - 110511 .
Dee W, Sequeira I, Lobley A, Slabaugh G ( 2023 ) . Cell-Vision Fusion: A Swin Transformer-based Approach to Predicting Kinase Inhibitor Mechanism of Action from Cell Painting Data .
Dee W, Ibrahim RA, Marouli E ( 2023 ) . Histopathological Domain Adaptation with Generative Adversarial Networks Bridging the Domain Gap Between Thyroid Cancer Histopathology Datasets .
Dee W ( 2022 ) . LMPred: predicting antimicrobial peptides using pre-trained language models and deep learning . Bioinformatics Advances vol. 2 , ( 1 ) Article vbac021 ,
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