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Detection of type II diabetes mellitus using salivary transcriptomic biomarkers
Yu Hsiang Lee
, Kaumudi Joshipura
, Jose Luis Vergara
, David T. Wong
生醫科學與工程學系
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
10
引文 斯高帕斯（Scopus）
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深入研究「Detection of type II diabetes mellitus using salivary transcriptomic biomarkers」主題。共同形成了獨特的指紋。
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Keyphrases
Area under the Curve
16%
Detection Method
16%
Diet Exercise
16%
Early Detection
16%
Healthy Controls
33%
High Sensitivity
16%
High Specificity
16%
Logistic Regression Model
16%
Metabolic Disease
16%
Microarray Analysis
16%
Microarray Profile
16%
MiRNA Biomarker
33%
MiRNA Signature
16%
Non-invasive Detection
16%
Plot Area
16%
PSMB2
16%
Quantitative PCR
16%
Receiver Operating Characteristic
16%
Regular Exercise
16%
Reverse Transcription
16%
Saliva
16%
Salivary Transcriptome
16%
SAT1
16%
T2DM Patients
33%
Transcriptomics
16%
Translational Biomarkers
100%
Type 1 Diabetes Mellitus (T1DM)
100%
Type 2 Diabetes Mellitus (T2DM)
100%
Medicine and Dentistry
Biological Marker
100%
Epidermal Growth Factor Receptor
14%
Logistic Regression Analysis
14%
Maturity Onset Diabetes of the Young
100%
Messenger RNA
28%
Metabolic Disorder
14%
Microarray Analysis
14%
Real-Time Polymerase Chain Reaction
14%
Reverse Transcription
14%
Sensitivity and Specificity
14%
Transcriptome
14%
Transcriptomics
100%
Type 2 Diabetes
100%
Biochemistry, Genetics and Molecular Biology
Epidermal Growth Factor Receptor
50%
KRAS
50%
Messenger RNA
100%
Real-Time Polymerase Chain Reaction
50%
Reverse Transcription
50%
RNA
50%
Transcriptome
50%
Transcriptomics
100%
Immunology and Microbiology
Real-Time Polymerase Chain Reaction
50%
Reverse Transcription
50%
Transcriptome
50%
Transcriptomics
100%
Computer Science
Chain Reaction
50%
Early Detection
50%
Healthy Control
100%
Logistic Regression Model
50%
Material Science
Real-Time Polymerase Chain Reaction
100%