Fergus Imrie

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Binding Protein

Machine Learning

Top Venues

Journal of chemical information and modeling

Chemical science

PLOS digital health

This page only lists publications with an associated author ORCID identifier.

Publications

Thomas Callender, Fergus Imrie, Bogdan Cebere, Nora Pashayan, Neal Navani, Mihaela van der Schaar, Sam M Janes
Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study. PLoS medicine 20 (10) (2023)
Fergus Imrie, Bogdan Cebere, Eoin F McKinney, Mihaela van der Schaar
AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning. PLOS digital health 2 (6) (2023)
Thomas E Hadfield, Fergus Imrie, Andy Merritt, Kristian Birchall, Charlotte M Deane
Incorporating Target-Specific Pharmacophoric Information into Deep Generative Models for Fragment Elaboration. Journal of chemical information and modeling 62 (10) (2022)
Fergus Imrie, Thomas E Hadfield, Anthony R Bradley, Charlotte M Deane
Deep generative design with 3D pharmacophoric constraints. Chemical science 12 (43) (2021)
Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, Charlotte M Deane
Deep Generative Models for 3D Linker Design. Journal of chemical information and modeling 60 (4) (2020)
Fergus Imrie, Anthony R Bradley, Mihaela van der Schaar, Charlotte M Deane
Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data. Journal of chemical information and modeling 58 (11) (2018)