CYTO-SV-ML: A Machine Learning Tool for Cytogenetic Structural Variant Analysis in Somatic Cell Type Using Genome Sequences
(1) Background: Although whole genome sequencing (WGS) has enabled the comprehensive analyses of structural variants (SVs), more accurate and efficient methods are needed to distinguish large somatic SVs (SV size ≥ 1 Mb) traditionally detected through cytogenetic testing from germline SVs. (2) Metho...
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Main Authors: | Tao Zhang, Paul Auer, Stephen R. Spellman, Jing Dong, Wael Saber, Yung-Tsi Bolon |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-06-01
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Series: | Life |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1729/15/6/929 |
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