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Metabolomics : Official Journal of the Metabolomic Society
|
December 1, 2025
Automated metabolite formula ranking using formula subset analysis for LC-MS/MS-based metabolomics
Ke-Shiuan Lynn
BMC Genomics
|
July 25, 2013
Construction of gene clusters resembling genetic causal mechanisms for common complex disease with an application to young-onset hypertension
Ke-Shiuan Lynn, Chen-Hua Lu, Han-Ying Yang, et al.
Genetic Epidemiology
|
January 27, 2006
Using endophenotypes for pathway clusters to map complex disease genes
Wen-Harn Pan, Ke-Shiuan Lynn, Chun-Houh Chen, et al.
Molecules (Basel, Switzerland)
|
November 8, 2018
Stable Isotope-Labeled Lipidomics to Unravel the Heterogeneous Development Lipotoxicity
Lu-Min Shih, Hsiang-Yu Tang, Ke-Shiuan Lynn, et al.
Analytical Chemistry
|
August 11, 2024
MRMQuant: Automated MRM Data Quantitation for Large-Scale Targeted Metabolomics Analysis
Ke-Shiuan Lynn, Hsiang-Yu Tang, Chi-Jen Lo, et al.
Plos One
|
January 20, 2016
iMet-Q: A User-Friendly Tool for Label-Free Metabolomics Quantitation Using Dynamic Peak-Width Determination
Hui-Yin Chang, Ching-Tai Chen, T Mamie Lih, et al.
Journal of Proteome Research
|
December 6, 2018
Vegetable Signatures Derived from Human Urinary Metabolomic Data in Controlled Feeding Studies
Ke-Shiuan Lynn, Mei-Ling Cheng, Hsin-Chou Yang, et al.
Nutrients
|
January 8, 2023
Probing Folate-Responsive and Stage-Sensitive Metabolomics and Transcriptional Co-Expression Network Markers to Predict Prognosis of Non-Small Cell Lung Cancer Patients
Yu-Shun Lin, Yen-Chu Chen, Tzu-En Chen, et al.
Bioinformatics (Oxford, England)
|
February 25, 2009
A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data
Ke-Shiuan Lynn, Li-Lan Li, Yen-Ju Lin, et al.
Nucleic Acids Research
|
June 17, 2009
MaXIC-Q Web: a fully automated web service using statistical and computational methods for protein quantitation based on stable isotope labeling and LC-MS
Chih-Chiang Tsou, Yin-Hao Tsui, Yi-Hwa Yian, et al.
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Search research articles
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Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Metabolomics : Official Journal of the Metabolomic Society
|
December 1, 2025
Automated metabolite formula ranking using formula subset analysis for LC-MS/MS-based metabolomics
Ke-Shiuan Lynn
BMC Genomics
|
July 25, 2013
Construction of gene clusters resembling genetic causal mechanisms for common complex disease with an application to young-onset hypertension
Ke-Shiuan Lynn, Chen-Hua Lu, Han-Ying Yang, et al.
Genetic Epidemiology
|
January 27, 2006
Using endophenotypes for pathway clusters to map complex disease genes
Wen-Harn Pan, Ke-Shiuan Lynn, Chun-Houh Chen, et al.
Molecules (Basel, Switzerland)
|
November 8, 2018
Stable Isotope-Labeled Lipidomics to Unravel the Heterogeneous Development Lipotoxicity
Lu-Min Shih, Hsiang-Yu Tang, Ke-Shiuan Lynn, et al.
Analytical Chemistry
|
August 11, 2024
MRMQuant: Automated MRM Data Quantitation for Large-Scale Targeted Metabolomics Analysis
Ke-Shiuan Lynn, Hsiang-Yu Tang, Chi-Jen Lo, et al.
Plos One
|
January 20, 2016
iMet-Q: A User-Friendly Tool for Label-Free Metabolomics Quantitation Using Dynamic Peak-Width Determination
Hui-Yin Chang, Ching-Tai Chen, T Mamie Lih, et al.
Journal of Proteome Research
|
December 6, 2018
Vegetable Signatures Derived from Human Urinary Metabolomic Data in Controlled Feeding Studies
Ke-Shiuan Lynn, Mei-Ling Cheng, Hsin-Chou Yang, et al.
Nutrients
|
January 8, 2023
Probing Folate-Responsive and Stage-Sensitive Metabolomics and Transcriptional Co-Expression Network Markers to Predict Prognosis of Non-Small Cell Lung Cancer Patients
Yu-Shun Lin, Yen-Chu Chen, Tzu-En Chen, et al.
Bioinformatics (Oxford, England)
|
February 25, 2009
A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data
Ke-Shiuan Lynn, Li-Lan Li, Yen-Ju Lin, et al.
Nucleic Acids Research
|
June 17, 2009
MaXIC-Q Web: a fully automated web service using statistical and computational methods for protein quantitation based on stable isotope labeling and LC-MS
Chih-Chiang Tsou, Yin-Hao Tsui, Yi-Hwa Yian, et al.
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