J. Frazer

Molecular Biology · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 47 citations into it
• Computational Biology & Bioinformatics — 22 citations into it

Whom J. Frazer trusts overall

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

1. Sean R. Eddy
2. Diederik P. Kingma
3. Debora Marks
4. Thomas A. Hopf
5. Douglas M. Fowler
6. B. Livesey
7. Adam J. Riesselman
8. Ivan A. Adzhubei
9. Romain Lopez
10. Karthik Anand Jagadeesh

Who trusts J. Frazer overall

1. Nadav Brandes
2. Erik Nijkamp
3. Jin Su

Papers from J. Frazer's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Deep Learning
5. ImageNet classification with deep convolutional neural networks
6. Semi-supervised Learning with Deep Generative Models
7. AUTO-ENCODING VARIATIONAL BAYES
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Disease variant prediction with deep generative models of evolutionary data (2021) — 734 citations
• Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning (2020) — 21 citations