法庭科学研究（英文）2026，Vol.11Issue(1)：25-31,7.DOI:10.3788/tfsr20250125
Development of an improved SVMp model for age prediction:exploring sequencing data from the 11-CpG panel
Development of an improved SVMp model for age prediction:exploring sequencing data from the 11-CpG panel
Monica Giuffrida 1Mikkel Meyer Andersen 2Vania Pereira 1Claus Børsting1
作者信息
- 1. Section of Forensic Genetics,Department of Forensic Medicine,Faculty of Health Sciences,University of Copenhagen,Copenhagen,Denmark
- 2. Section of Forensic Genetics,Department of Forensic Medicine,Faculty of Health Sciences,University of Copenhagen,Copenhagen,Denmark||Department of Mathematical Sciences,Aalborg University,Aalborg,Denmark
- 折叠
摘要
关键词
forensic sciences/forensic genetics/DNA methylation/massive parallel sequencing/machine learning/support vector machine(SVM)Key words
forensic sciences/forensic genetics/DNA methylation/massive parallel sequencing/machine learning/support vector machine(SVM)引用本文复制引用
Monica Giuffrida,Mikkel Meyer Andersen,Vania Pereira,Claus Børsting..Development of an improved SVMp model for age prediction:exploring sequencing data from the 11-CpG panel[J].法庭科学研究（英文）,2026,11(1):25-31,7.
