The role of bile acids in carcinogenesis

T Režen, D Rozman, T Kovács, P Kovács… - Cellular and molecular …, 2022 - Springer
Bile acids are soluble derivatives of cholesterol produced in the liver that subsequently
undergo bacterial transformation yielding a diverse array of metabolites. The bulk of bile …

LC-MS-based metabolomics

B Zhou, JF **ao, L Tuli, HW Ressom - Molecular BioSystems, 2012 - pubs.rsc.org
Metabolomics aims at identification and quantitation of small molecules involved in
metabolic reactions. LC-MS has enjoyed a growing popularity as the platform for …

[HTML][HTML] Early lung cancer diagnostic biomarker discovery by machine learning methods

Y **e, WY Meng, RZ Li, YW Wang, X Qian, C Chan… - Translational …, 2021 - Elsevier
Early diagnosis has been proved to improve survival rate of lung cancer patients. The
availability of blood-based screening could increase early lung cancer patient uptake. Our …

Applications of machine learning in metabolomics: Disease modeling and classification

A Galal, M Talal, A Moustafa - Frontiers in genetics, 2022 - frontiersin.org
Metabolomics research has recently gained popularity because it enables the study of
biological traits at the biochemical level and, as a result, can directly reveal what occurs in a …

Current and emerging methods for ovarian cancer screening and diagnostics: a comprehensive review

JM Liberto, SY Chen, IM Shih, TH Wang, TL Wang… - Cancers, 2022 - mdpi.com
Simple Summary Ovarian high-grade serous carcinoma (HGSC) has a 5-year survival rate
of less than 50%, making it one of the most lethal gynecological cancers for women in the …

The role of metabolites and metabolomics in clinically applicable biomarkers of disease

M Mamas, WB Dunn, L Neyses, R Goodacre - Archives of toxicology, 2011 - Springer
Metabolomics allows the simultaneous and relative quantification of thousands of different
metabolites within a given sample using sensitive and specific methodologies such as gas …

Computational and statistical analysis of metabolomics data

S Ren, AA Hinzman, EL Kang, RD Szczesniak, LJ Lu - Metabolomics, 2015 - Springer
Metabolomics is the comprehensive study of small molecule metabolites in biological
systems. By assaying and analyzing thousands of metabolites in biological samples, it …

Applications of liquid chromatography coupled to mass spectrometry-based metabolomics in clinical chemistry and toxicology: A review

A Roux, D Lison, C Junot, JF Heilier - Clinical biochemistry, 2011 - Elsevier
The metabolome is the set of small molecular mass organic compounds found in a given
biological media. It includes all organic substances naturally occurring from the metabolism …

Normalization and integration of large-scale metabolomics data using support vector regression

X Shen, X Gong, Y Cai, Y Guo, J Tu, H Li, T Zhang… - Metabolomics, 2016 - Springer
Introduction Untargeted metabolomics studies for biomarker discovery often have hundreds
to thousands of human samples. Data acquisition of large-scale samples has to be divided …

Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology

AL Swan, A Mobasheri, D Allaway… - Omics: a journal of …, 2013 - liebertpub.com
Mass spectrometry is an analytical technique for the characterization of biological samples
and is increasingly used in omics studies because of its targeted, nontargeted, and high …