Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm.

Journal: BioMed research international

Published Date: Mar 4, 2022

Abstract

BACKGROUND: Type 2 diabetes is a major health concern worldwide. The present study is aimed at discovering effective biomarkers for an efficient diagnosis of type 2 diabetes.

Authors

Jiabin Li

Department of Pharmacy, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Jieying Ding

Department of Pharmacy, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
D U Zhi

Department of Pharmacy, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Kaiyun Gu

Department of National Center, Zhejiang University School of Medicine Children's Hospital, Hangzhou, China 310052.
Hui Wang

Department of Vascular Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Keywords

Algorithms Computational Biology Diabetes Mellitus, Type 2 Gene Expression Profiling Gene Regulatory Networks Genetic Markers Humans Protein Interaction Maps Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (35281591)

Identification of Type 2 Diabetes Based on a Ten-Gene Biomarker Prediction Model Constructed Using a Support Vector Machine Algorithm.

Abstract

Authors

Keywords

External Resources

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