Hao Ding
Molecular Biology · with Mamitsuka · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 41 citations into it
- Computational Theory and Mathematics — 35 citations into it
- Artificial Intelligence — 8 citations into it
- Information Systems — 6 citations into it
- Computational Biology & Bioinformatics — 5 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Hao Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Mehmet Gönen
- Yoshihiro Yamanishi
- Kevin Bleakley
- Minoru Kanehisa
- Laurent Jacob
- Temple F. Smith
- T. van Laarhoven
- Masahiro Hattori
- Rong Pan
Who trusts Hao Ding overall
- Yong Liu
- Masashi Tsubaki
- Zhirui Liao
- Kyle Yingkai Gao
- Min Wu
- Kentaro Tomii
- Ingoo Lee
- Maryam Bagherian
- Kexin Huang
- Wei Zhang
Papers from Hao Ding's perspective
Ordered by how strongly the researchers Hao Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
- Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways. (Journal of the American Chemical Society)
- DrugBank: a knowledgebase for drugs, drug actions and drug targets
- LIBSVM: A library for support vector machines
- SuperTarget and Matador: resources for exploring drug-target relationships (Nucleic Acids Res.)
- Structure-based maximal affinity model predicts small-molecule druggability (Nature Biotechnology)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Prediction of drug–target interaction networks from the integration of chemical and genomic spaces (Intelligent Systems in Molecular Biology)
- The druggable genome (Nature reviews. Drug discovery)