# Deep structured learning for variant prioritization in Mendelian diseases

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-structured-learning-for-variant-prioritization-in-mendelian-diseases/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Matt C. Danzi,Maike F. Dohrn,Sarah Fazal,Danique Beijer,Adriana Rebelo,Vívian Pedigone Cintra,Stephan Züchner |
| Citations | 45 |
| DOI | 10.1038/s41467-023-39306-7 |
| Fields | Biochemistry, Genetics and Molecular Biology |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.nature.com/articles/s41467-023-39306-7.pdf |
| OpenAlex ID | https://openalex.org/W4384201327 |
| PMID | 37443090 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Maike F. Dohrn](https://scholariq.org/researchers/maike-f-dohrn/)

## Paper journal

- [Nature Communications](https://scholariq.org/journals/nature-communications/)

## Paper primary topic

- [Genomics and Rare Diseases](https://scholariq.org/topics/genomics-and-rare-diseases/)

## Paper topics

- [Genomics and Rare Diseases](https://scholariq.org/topics/genomics-and-rare-diseases/)
- [CRISPR and Genetic Engineering](https://scholariq.org/topics/crispr-and-genetic-engineering/)
- [Genomics and Phylogenetic Studies](https://scholariq.org/topics/genomics-and-phylogenetic-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.