Cargando…
PhenoSV: interpretable phenotype-aware model for the prioritization of genes affected by structural variants
Structural variants (SVs) represent a major source of genetic variation associated with phenotypic diversity and disease susceptibility. While long-read sequencing can discover over 20,000 SVs per human genome, interpreting their functional consequences remains challenging. Existing methods for iden...
Autores principales: | Xu, Zhuoran, Li, Quan, Marchionni, Luigi, Wang, Kai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10684511/ https://www.ncbi.nlm.nih.gov/pubmed/38016949 http://dx.doi.org/10.1038/s41467-023-43651-y |
Ejemplares similares
-
PhenoGeneRanker: Gene and Phenotype Prioritization Using Multiplex Heterogeneous Networks
por: Dursun, Cagatay, et al.
Publicado: (2022) -
PhenoRank: reducing study bias in gene prioritization through
simulation
por: Cornish, Alex J, et al.
Publicado: (2018) -
MultiNEP: a multi-omics network enhancement framework for prioritizing disease genes and metabolites simultaneously
por: Xu, Zhuoran, et al.
Publicado: (2023) -
Enhancing Phenotype Recognition in Clinical Notes Using Large Language Models: PhenoBCBERT and PhenoGPT
por: Yang, Jingye, et al.
Publicado: (2023) -
DeepPheno: Predicting single gene loss-of-function phenotypes using an ontology-aware hierarchical classifier
por: Kulmanov, Maxat, et al.
Publicado: (2020)