Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers

Frontiers in Genetics

Fei Li³  Han Li³  Xin Feng³  Fengfeng Zhou³  Jialiang Li³  Quewang Liu³  Hang Chen³  Zhu-Hong You⁴ 

[1] BioKnow Health Informatics Lab, College of Computer Science and Technology, Jilin University, Changchun, China;BioKnow Health Informatics Lab, College of Software, Jilin University, Changchun, China;Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, China;Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, China;

关键词: age;    feature selection;    TriVote;    BRCA;    classification;    transcriptome;   

DOI  :  10.3389/fgene.2019.00212

来源: DOAJ

【 摘 要 】

Patients at different ages have different rates of cell development and metabolisms. As a result, age should be an essential part of how a disease diagnosis model is trained and optimized. Unfortunately, most of the existing studies have not taken age into account. This study demonstrated that disease diagnosis models could be improved by merely applying individual models for patients of different age groups. Both transcriptomes and methylomes of the TCGA breast cancer dataset (TCGA-BRCA) were utilized for the analysis procedure of feature selection and classification. Our experimental data strongly suggested that disease diagnosis modeling should integrate patient age into the whole experimental design.

【 授权许可】

Unknown