Cargando…
Accurate in silico confirmation of rare copy number variant calls from exome sequencing data using transfer learning
Exome sequencing is widely used in genetic studies of human diseases and clinical genetic diagnosis. Accurate detection of copy number variants (CNVs) is important to fully utilize exome sequencing data. However, exome data are noisy. None of the existing methods alone can achieve both high precisio...
Autores principales: | Tan, Renjie, Shen, Yufeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756945/ https://www.ncbi.nlm.nih.gov/pubmed/36124672 http://dx.doi.org/10.1093/nar/gkac788 |
Ejemplares similares
-
CANOES: detecting rare copy number variants from whole exome sequencing data
por: Backenroth, Daniel, et al.
Publicado: (2014) -
Enhanced copy number variants detection from whole-exome sequencing data using EXCAVATOR2
por: D'Aurizio, Romina, et al.
Publicado: (2016) -
Polishing copy number variant calls on exome sequencing data via deep learning
por: Özden, Furkan, et al.
Publicado: (2022) -
A machine-learning approach for accurate detection of copy number variants from exome sequencing
por: Pounraja, Vijay Kumar, et al.
Publicado: (2019) -
CODEX: a normalization and copy number variation detection method for whole exome sequencing
por: Jiang, Yuchao, et al.
Publicado: (2015)