A novel strategy for forensic age prediction by DNA methylation and support vector regression model

Keyphrases

• Multivariate Linear Regression 100%
• DNA Methylation (DNAm) 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Age Prediction 100%
• Forensic Age 100%
• Prediction Model 50%
• Individual Age 50%
• Age-associated 50%
• Gender Differences 50%
• Aging Process 50%
• PCR Products 50%
• Linear Regression Model 50%
• Sequenom 50%
• Han Chinese 50%
• Measurement Accuracy 50%
• False Discovery Rate 50%
• Population Differences 50%
• Chronological Age 50%
• Age Estimation 50%
• Monozygotic Twins 50%
• Female Volunteers 50%
• Back-propagation Artificial Neural Network (BP-ANN) 50%
• DNA Methylation Sites 50%
• Model Difference 50%
• Mean Absolute Deviation 50%
• Age Prediction Model 50%
• DNA Methylation Markers 50%
• Forensic Practice 50%
• MassARRAY 50%

Medicine and Dentistry

• DNA Methylation 100%
• Linear Regression Analysis 66%
• Volunteer 33%
• Monozygotic Twin 33%
• Age Determination 33%

Biochemistry, Genetics and Molecular Biology

• Support Vector Machine 100%
• DNA Methylation 100%
• Monozygotic Twin 33%