Richard P. I. Lewis
Computational Theory and Mathematics · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 27 citations into it
Whom Richard P. I. Lewis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chun Wei Yap
- Hui Huang
- Mukesh Bansal
- Paul T. Shannon
- Craig Knox
- Anna Gaulton
- Vinod Nair
- Fabian Pedregosa
- K. Smith‐Miles
- Geoffrey E. Hinton
Papers from Richard P. I. Lewis's perspective
Ordered by how strongly the researchers Richard P. I. Lewis trusts endorse each paper. Same corpus, a different order for every researcher.
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data
- DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs
- ChEMBL: a large-scale bioactivity database for drug discovery
- Multi-target therapeutics: when the whole is greater than the sum of the parts. (Drug Discovery Today)
- Theoretical Basis, Experimental Design, and Computerized Simulation of Synergism and Antagonism in Drug Combination Studies
- ImageNet classification with deep convolutional neural networks
- Cytoscape: a software environment for integrated models of biomolecular interaction networks.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The problem of synergism and antagonism of combined drugs.
Their papers
- Synergy Maps: exploring compound combinations using network-based visualization (2015) — 33 citations
- DeepSynergy: predicting anti-cancer drug synergy with Deep Learning (2017) — 577 citations