David Healey

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Actionable Knowledge

High Resolution

Spatial Regions

Top Venues

Briefings Bioinform.

J. Cheminformatics

Publications

Chloe Engler Hart, Daniel Ence, David Healey, Daniel Domingo-Fernández
On the correspondence between the transcriptomic response of a compound and its effects on its targets. BMC Bioinform. 24 (1) (2023)
Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler
Efficiently predicting high resolution mass spectra with graph neural networks. CoRR (2023)
Daniel Domingo-Fernández, Yojana Gadiya, Sarah Mubeen, David Healey, Bryan H. Norman, Viswa Teja S. S. Colluru
Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions. J. Cheminformatics 15 (1) (2023)
Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler
Efficiently predicting high resolution mass spectra with graph neural networks. ICML (2023)
Zhong Fan, Jun Cao, Taskin Jamal, Chris Fogwill, Cephas Samende, Zoe Robinson, Fiona Polack, Mark Ormerod, Sharon George, Adam Peacock, David Healey
The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero. CoRR (2022)
Daniel Domingo-Fernández, Yojana Gadiya, Abhishek Patel, Sarah Mubeen, Daniel Rivas-Barragan, Chris W. Diana, Biswapriya B. Misra, David Healey, John C. Rokicki, Viswa Teja S. S. Colluru
Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery. PLoS Comput. Biol. 18 (2) (2022)
Daniel Rivas-Barragan, Daniel Domingo-Fernández, Yojana Gadiya, David Healey
Ensembles of knowledge graph embedding models improve predictions for drug discovery. Briefings Bioinform. 23 (6) (2022)
Gennady Voronov, Rose Lightheart, Joe Davison, Christoph A. Krettler, David Healey, Thomas Butler
Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data. CoRR (2022)
Jun Cao, Dan Harrold, Zhong Fan, Thomas Morstyn, David Healey, Kang Li
Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model. IEEE Trans. Smart Grid 11 (5) (2020)