Elyas Sabeti

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 91 citations into it
• Computational Theory and Mathematics — 80 citations into it
• Materials Chemistry — 8 citations into it

Whom Elyas Sabeti trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Minoru Kanehisa
2. C. Burges
3. Yoshihiro Yamanishi
4. Mehmet Gönen
5. Antonio Lavecchia
6. Tao Zhou
7. Michael Kuhn
8. Anna Gaulton
9. Ruslan Salakhutdinov
10. Mikhail Belkin

Papers from Elyas Sabeti's perspective

Ordered by how strongly the researchers Elyas Sabeti trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. This PDF file includes: Materials and Methods
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. From genomics to chemical genomics: new developments in KEGG (Nucleic Acids Res.)
7. ChEMBL: a large-scale bioactivity database for drug discovery
8. Random Forests
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Machine learning approaches and databases for prediction of drug–target interaction: a survey paper (2020) — 366 citations