CNVDeep: deep association of copy number variants with neurocognitive disorders

Our model effectively identifies regions associated with phenotypic traits using regularized deep learning. Rather than attempting to analyze the whole genome, CNVDeep allows us to focus only on the causative regions of disease.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-08-29
DOI
https://doi.org/10.1186/s12859-024-05874-8
Citations
2
Primary Topic
Genomic variations and chromosomal abnormalities
Type
article
Field-Weighted Citation Impact
1.10

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article

CNVDeep: deep association of copy number variants with neurocognitive disorders

Zahra Rahaie, Hamid Reza Rabiee, Hamid Alinejad-Rokny
2 citations
BMC Bioinformatics
Genomic variations and chromosomal abnormalities
1.10
article

CNVDeep: deep association of copy number variants with neurocognitive disorders

Zahra Rahaie, Hamid Reza Rabiee, Hamid Alinejad-Rokny
article en
2 citations

Abstract

Our model effectively identifies regions associated with phenotypic traits using regularized deep learning. Rather than attempting to analyze the whole genome, CNVDeep allows us to focus only on the causative regions of disease.

BMC BioinformaticsVol. 25(1)
Sharif University of Technology (IR), UNSW Sydney (AU)
National Science Foundation, University of New South Wales, Iran National Science Foundation
Quality Education
Openalex Percentile: Top 19%
Genomic variations and chromosomal abnormalities
1.10
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