Improving CNV Detection Performance in Microarray Data Using a Machine Learning-Based Approach

Improving CNV Detection Performance in Microarray Data Using a Machine Learning-Based Approach

Copy number variation (CNV) is a primary source of structural variation in the human genome, leading to several disorders. Therefore, analyzing neonatal CNVs is crucial for managing CNV-related chromosomal disabilities. However, genomic waves can hinder accurate CNV analysis. To mitigate the influen...

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Bibliographic Details
Main Authors: Chul Jun Goh, Hyuk-Jung Kwon, Yoonhee Kim, Seunghee Jung, Jiwoo Park, Isaac Kise Lee, Bo-Ram Park, Myeong-Ji Kim, Min-Jeong Kim, Min-Seob Lee
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Diagnostics
Subjects:
CNV
genome-wide SNP array
Korean newborn
machine learning
genomic wave
Online Access:https://www.mdpi.com/2075-4418/14/1/84

Internet

https://www.mdpi.com/2075-4418/14/1/84

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