Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers
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 disea...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-03-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fgene.2019.00212/full |
| _version_ | 1819137727751258112 |
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| author | Xin Feng Xin Feng Jialiang Li Jialiang Li Han Li Han Li Hang Chen Hang Chen Fei Li Fei Li Quewang Liu Quewang Liu Zhu-Hong You Fengfeng Zhou Fengfeng Zhou Fengfeng Zhou Fengfeng Zhou |
| author_facet | Xin Feng Xin Feng Jialiang Li Jialiang Li Han Li Han Li Hang Chen Hang Chen Fei Li Fei Li Quewang Liu Quewang Liu Zhu-Hong You Fengfeng Zhou Fengfeng Zhou Fengfeng Zhou Fengfeng Zhou |
| author_sort | Xin Feng |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T10:55:28Z |
| format | Article |
| id | doaj.art-a6be2c099db1408e9e4f120cb0f3daf5 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-12-22T10:55:28Z |
| publishDate | 2019-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-a6be2c099db1408e9e4f120cb0f3daf52022-12-21T18:28:39ZengFrontiers Media S.A.Frontiers in Genetics1664-80212019-03-011010.3389/fgene.2019.00212437467Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic BiomarkersXin Feng0Xin Feng1Jialiang Li2Jialiang Li3Han Li4Han Li5Hang Chen6Hang Chen7Fei Li8Fei Li9Quewang Liu10Quewang Liu11Zhu-Hong You12Fengfeng Zhou13Fengfeng Zhou14Fengfeng Zhou15Fengfeng Zhou16BioKnow Health Informatics Lab, College of Computer Science and Technology, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaBioKnow Health Informatics Lab, College of Software, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaBioKnow Health Informatics Lab, College of Software, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaBioKnow Health Informatics Lab, College of Computer Science and Technology, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaBioKnow Health Informatics Lab, College of Software, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaBioKnow Health Informatics Lab, College of Computer Science and Technology, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaXinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Ürümqi, ChinaBioKnow Health Informatics Lab, College of Computer Science and Technology, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaBioKnow Health Informatics Lab, College of Software, Jilin University, Changchun, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, ChinaPatients 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.https://www.frontiersin.org/article/10.3389/fgene.2019.00212/fullagefeature selectionTriVoteBRCAclassificationtranscriptome |
| spellingShingle | Xin Feng Xin Feng Jialiang Li Jialiang Li Han Li Han Li Hang Chen Hang Chen Fei Li Fei Li Quewang Liu Quewang Liu Zhu-Hong You Fengfeng Zhou Fengfeng Zhou Fengfeng Zhou Fengfeng Zhou Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers Frontiers in Genetics age feature selection TriVote BRCA classification transcriptome |
| title | Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers |
| title_full | Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers |
| title_fullStr | Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers |
| title_full_unstemmed | Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers |
| title_short | Age Is Important for the Early-Stage Detection of Breast Cancer on Both Transcriptomic and Methylomic Biomarkers |
| title_sort | age is important for the early stage detection of breast cancer on both transcriptomic and methylomic biomarkers |
| topic | age feature selection TriVote BRCA classification transcriptome |
| url | https://www.frontiersin.org/article/10.3389/fgene.2019.00212/full |
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