Jae Yong Ryu
Computational Theory and Mathematics · 2013–2018
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 10 citations into it
- Molecular Biology — 9 citations into it
- Pharmacology — 5 citations into it
Whom Jae Yong Ryu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Feixiong Cheng
- Sabrina Jaeger
- Christof Angermueller
- Rafael Gómez‐Bombarelli
- Zhongming Zhao
- Simone Fulle
- Tanel Pärnamaa
- Ines Thiele
- David Kristjanson Duvenaud
Who trusts Jae Yong Ryu overall
Papers from Jae Yong Ryu's perspective
Ordered by how strongly the researchers Jae Yong Ryu trusts endorse each paper. Same corpus, a different order for every researcher.
- Molecular Systems Biology Peer Review Process File Indi: a Computational Framework for Inferring Drug Interactions and Their Associated Recommendations Transaction Report
- Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
- Deep learning for computational biology
- A community-driven global reconstruction of human metabolism (Nature Biotechnology)
- Drug-drug interaction through molecular structure similarity analysis
- Machine learning-based prediction of drug-drug interactions by integrating drug phenotypic, therapeutic, chemical, and genomic properties.
- Adverse drug reactions: definitions, diagnosis, and management. (The Lancet)
- Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition
- Trends in Prescription Drug Use among Adults in the United States from 1999–2012
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Deep learning improves prediction of drug–drug and drug–food interactions (2018) — 592 citations
- Genome-scale Reconstruction of the metabolic network (2013) — 105 citations