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Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.

, , , , , and . J. Cheminformatics, 15 (1): 107 (December 2023)

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Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery., , , , , , , , , and . PLoS Comput. Biol., (2022)Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions., , , , , and . J. Cheminformatics, 15 (1): 107 (December 2023)Multi-scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data., , , , , and . CoRR, (2022)The role of living laboratories in unlocking the potential of low-carbon energy technologies on the journey to net-zero., , , , , , , , , and 1 other author(s). CoRR, (2022)On the correspondence between the transcriptomic response of a compound and its effects on its targets., , , and . BMC Bioinform., 24 (1): 207 (December 2023)Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model., , , , , and . IEEE Trans. Smart Grid, 11 (5): 4513-4521 (2020)Ensembles of knowledge graph embedding models improve predictions for drug discovery., , , and . Briefings Bioinform., (2022)Efficiently predicting high resolution mass spectra with graph neural networks., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 25549-25562. PMLR, (2023)