[HTML][HTML] A weighted relative difference accumulation algorithm for dynamic metabolomics data: long-term elevated bile acids are risk factors for hepatocellular …

W Zhang, L Zhou, P Yin, J Wang, X Lu, X Wang… - Scientific reports, 2015 - nature.com
Dynamic metabolomics studies can provide a systematic view of the metabolic trajectory
during disease development and drug treatment and reveal the nature of biological …

[HTML][HTML] A data preprocessing strategy for metabolomics to reduce the mask effect in data analysis

J Yang, X Zhao, X Lu, X Lin, G Xu - Frontiers in molecular biosciences, 2015 - frontiersin.org
Highlights Developed a data preprocessing strategy to cope with missing values and mask
effects in data analysis from high variation of abundant metabolites. A new method-'x …

Metabolomic biomarker identification in presence of outliers and missing values

N Kumar, MA Hoque, M Shahjaman… - BioMed Research …, 2017 - Wiley Online Library
Metabolomics is the sophisticated and high‐throughput technology based on the entire set
of metabolites which is known as the connector between genotypes and phenotypes. For …

Metabolomic characterization of hepatocellular carcinoma in patients with liver cirrhosis for biomarker discovery

C Di Poto, A Ferrarini, Y Zhao, RS Varghese, C Tu… - … Biomarkers & Prevention, 2017 - AACR
Background: Metabolomics plays an important role in providing insight into the etiology and
mechanisms of hepatocellular carcinoma (HCC). This is accomplished by a comprehensive …

[HTML][HTML] Spatial metabolomics on liver cirrhosis to hepatocellular carcinoma progression

MJ He, W Pu, X Wang, X Zhong, D Zhao, Z Zeng… - Cancer Cell …, 2022 - Springer
Background Hepatocellular carcinoma (HCC) is one of the deadliest cancers and is mainly
developed from chronic liver diseases such as hepatitis-B infection-associated liver cirrhosis …

[HTML][HTML] A new strategy for analyzing time-series data using dynamic networks: identifying prospective biomarkers of hepatocellular carcinoma

X Huang, J Zeng, L Zhou, C Hu, P Yin, X Lin - Scientific reports, 2016 - nature.com
Time-series metabolomics studies can provide insight into the dynamics of disease
development and facilitate the discovery of prospective biomarkers. To improve the …

[HTML][HTML] Establishment of a pattern recognition metabolomics model for the diagnosis of hepatocellular carcinoma

PC Zhou, LQ Sun, L Shao, LZ Yi, N Li… - World Journal of …, 2020 - ncbi.nlm.nih.gov
BACKGROUND Early diagnosis of hepatocellular carcinoma may help to ensure that
patients have a chance for long-term survival; however, currently available biomarkers lack …

[HTML][HTML] Serum metabolomics to identify the liver disease-specific biomarkers for the progression of hepatitis to hepatocellular carcinoma

R Gao, J Cheng, C Fan, X Shi, Y Cao, B Sun, H Ding… - Scientific reports, 2015 - nature.com
Hepatocellular carcinoma (HCC) is a common malignancy that has region specific
etiologies. Unfortunately, 85% of cases of HCC are diagnosed at an advanced stage …

[HTML][HTML] Metabolomic estimation of the diagnosis of hepatocellular carcinoma based on ultrahigh performance liquid chromatography coupled with time-of-flight mass …

YF Li, S Qiu, LJ Gao, AH Zhang - RSC advances, 2018 - pubs.rsc.org
Metabolomics has been shown to be an effective tool for biomarker screening and pathway
characterization and disease diagnosis. Metabolic characteristics of hepatocellular …

Data-driven optimization of metabolomics methods using rat liver samples

GS Parab, R Rao, S Lakshminarayanan… - Analytical …, 2009 - ACS Publications
The aim of metabolomics is to identify, measure, and interpret complex time-related
concentration, activity, and flux of metabolites in cells, tissues, and biofluids. We have used a …