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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
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期刊論文
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同行評審
9
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
Type 2 Diabetes Mellitus (T2DM)
100%
Type 1 Diabetes Mellitus (T1DM)
100%
Translational Biomarkers
100%
Healthy Controls
33%
MiRNA Biomarker
33%
T2DM Patients
33%
Quantitative PCR
16%
High Sensitivity
16%
Detection Method
16%
Logistic Regression Model
16%
High Specificity
16%
Early Detection
16%
Microarray Analysis
16%
Area under the Curve
16%
Receiver Operating Characteristic
16%
Metabolic Disease
16%
Non-invasive Detection
16%
Transcriptomics
16%
Plot Area
16%
Salivary Transcriptome
16%
MiRNA Signature
16%
Saliva
16%
Microarray Profile
16%
Diet Exercise
16%
Regular Exercise
16%
PSMB2
16%
Reverse Transcription
16%
SAT1
16%
Biochemistry, Genetics and Molecular Biology
Microarrays
100%
Transcriptomics
100%
Messenger RNA
100%
RNA
50%
Epidermal Growth Factor Receptor
50%
Real-Time Polymerase Chain Reaction
50%
Transcriptome
50%
KRAS
50%
Reverse Transcription
50%
Medicine and Dentistry
Maturity Onset Diabetes of the Young
100%
Biological Marker
100%
Transcriptomics
100%
Type 2 Diabetes
100%
Messenger RNA
28%
Diagnosis
14%
Sensitivity and Specificity
14%
Epidermal Growth Factor Receptor
14%
Logistic Regression Analysis
14%
Water-Electrolyte Imbalance
14%
Transcriptome
14%
Real-Time Polymerase Chain Reaction
14%
Microarray Analysis
14%
Reverse Transcription
14%
Immunology and Microbiology
Transcriptomics
100%
Transcriptome
50%
Real-Time Polymerase Chain Reaction
50%
Reverse Transcription
50%
Computer Science
Healthy Control
100%
Early Detection
50%
Chain Reaction
50%
Logistic Regression Model
50%
Material Science
Polymerase Chain Reaction
100%