Thorben Maass

Molecular Biology · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 24 citations into it
• Genetics — 22 citations into it

Whom Thorben Maass trusts overall

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

1. Philipp Rentzsch
2. Jason Ernst
3. Yaniv Erlich
4. Martin Kircher

Papers from Thorben Maass's perspective

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

1. A general framework for estimating the relative pathogenicity of human genetic variants
2. Predicting variant deleteriousness in non-human species: applying the CADD approach in mouse
3. Approximation to the Distribution of Fitness Effects across Functional Categories in Human Segregating Polymorphisms
4. Chromatin-state discovery and genome annotation with ChromHMM
5. Supplementary Information for Predicting the clinical impact of human mutation with deep neural networks
6. Language models enable zero-shot prediction of the effects of mutations on protein function
7. The Ensembl Variant Effect Predictor
8. ClinVar: public archive of relationships among sequence variation and human phenotype
9. Routes for breaching and protecting genetic privacy (Nature reviews genetics)
10. CADD: predicting the deleteriousness of variants throughout the human genome

Their papers

• CADD v1.7: using protein language models, regulatory CNNs and other nucleotide-level scores to improve genome-wide variant predictions (2024) — 369 citations