DNA Methylation Biomarkers-Based Human Age Prediction Using Machine Learning.

Journal: Computational intelligence and neuroscience
Published Date: Jan 24, 2022

Abstract

PURPOSE: Age can be an important clue in uncovering the identity of persons that left biological evidence at crime scenes. With the availability of DNA methylation data, several age prediction models are developed by using statistical and machine learning methods. From epigenetic studies, it has been demonstrated that there is a close association between aging and DNA methylation. Most of the existing studies focused on healthy samples, whereas diseases may have a significant impact on human age. Therefore, in this article, an age prediction model is proposed using DNA methylation biomarkers for healthy and diseased samples.

Authors

  • Atef Zaguia
    Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia.
  • Deepak Pandey
    Department of Information Technology, University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India.
  • Sandeep Painuly
    Department of Information Technology, University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India.
  • Saurabh Kumar Pal
    Department of Information Technology, University Institute of Engineering and Technology, Panjab University, Chandigarh 160014, India.
  • Vivek Kumar Garg
    Department of Medical Lab Technology, University Institute of Applied Health Sciences, Chandigarh University, Gharuan, Mohali 140413, Punjab, India.
  • Neelam Goel

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