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Alex Hawkins-Hooker
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Generating functional protein variants with variational autoencoders
A Hawkins-Hooker, F Depardieu, S Baur, G Couairon, A Chen, D Bikard
PLoS computational biology 17 (2), e1008736, 2021
1422021
Integration of multiple epigenomic marks improves prediction of variant impact in saturation mutagenesis reporter assay
D Shigaki, O Adato, AN Adhikari, S Dong, A Hawkins‐Hooker, F Inoue, ...
Human mutation 40 (9), 1280-1291, 2019
402019
The ENCODE Imputation Challenge: A critical assessment of methods for cross-cell type imputation of epigenomic profiles
J Schreiber, C Boix, J wook Lee, H Li, Y Guan, CC Chang, JC Chang, ...
Genome biology 24 (1), 79, 2023
52023
MSA-Conditioned Generative Protein Language Models for Fitness Landscape Modelling and Design
A Hawkins-Hooker, DT Jones, B Paige
Machine Learning in Structural Biology Workshop at NeurIPS, 2021
52021
Projection layers improve deep learning models of regulatory DNA function
A Hawkins-Hooker, H Kenlay, J Reid
BioRxiv, 412734, 2018
32018
Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning
A Hawkins-Hooker, G VisonÓ, T Narendra, M Rojas-Carulla, B Sch÷lkopf, ...
Nature Communications 14 (1), 4750, 2023
2*2023
Chainsaw: protein domain segmentation with fully convolutional neural networks
J Wells, A Hawkins-Hooker, N Bordin, B Paige, C Orengo
bioRxiv, 2023.07. 19.549732, 2023
12023
Using domain-domain interactions to probe the limitations of MSA pairing strategies
A Hawkins-Hooker, DT Jones, B Paige
Machine Learning in Structural Biology Workshop at NeurIPS, 2022
12022
Moment Matching Denoising Gibbs Sampling
M Zhang, A Hawkins-Hooker, B Paige, D Barber
arXiv preprint arXiv:2305.11650, 2023
2023
Evaluating Markov Chain Ontology Analysis as a Standalone Enrichment Analysis Method
A Hawkins-Hooker
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Articles 1–10