Pascal Notin

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 Pascal Notin 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. Adam J. Riesselman
7. B. Livesey

Papers from Pascal Notin's perspective

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

1. Deep Learning
2. Semi-supervised Learning with Deep Generative Models
3. AUTO-ENCODING VARIATIONAL BAYES
4. Protein 3D Structure Computed from Evolutionary Sequence Variation
5. Deep mutational scanning: a new style of protein science
6. A method and server for predicting damaging missense mutations
7. Deep generative models of genetic variation capture the effects of mutations
8. A Closer Look at Memorization in Deep Networks
9. Mutation effects predicted from sequence co-variation
10. Mixture models : inference and applications to clustering

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