title: A weighted relative difference accumulation algorithm for dynamic metabolomics data: long-term elevated bile acids are risk factors for hepatocellular carcinoma.
abstract: Dynamic metabolomics studies can provide a systematic view of the metabolic trajectory during disease development and drug treatment and reveal the nature of biological processes at metabolic level. To extract important information in a systematic time dimension rather than at isolated time points, a weighted method based on the means and variations along the time points was proposed and first applied to previously published rat model data. The method was subsequently extended and applied to prospective metabolomics data analysis of hepatocellular carcinoma (HCC). Permutation was employed for noise filtering and false discovery rate (FDR) was used for parameter optimization during the feature selection. Long-term elevated serum bile acids were identified as risk factors for HCC development.
authors.affiliation: School of Computer Science &Technology, Dalian University of Technology, Dalian, China.
authors.forename: Weijian
authors.initials: W
authors.lastname: Zhang
authors.affiliation: Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
authors.forename: Lina
authors.initials: L
authors.lastname: Zhou
authors.affiliation: Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
authors.forename: Peiyuan
authors.initials: P
authors.lastname: Yin
authors.affiliation: Qidong Liver Cancer Institute, Qidong 226200, China.
authors.forename: Jinbing
authors.initials: J
authors.lastname: Wang
authors.affiliation: Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Lu
authors.affiliation: School of Computer Science &Technology, Dalian University of Technology, Dalian, China.
authors.forename: Xiaomei
authors.initials: X
authors.lastname: Wang
authors.affiliation: Qidong Liver Cancer Institute, Qidong 226200, China.
authors.forename: Jianguo
authors.initials: J
authors.lastname: Chen
authors.affiliation: School of Computer Science &Technology, Dalian University of Technology, Dalian, China.
authors.forename: Xiaohui
authors.initials: X
authors.lastname: Lin
authors.affiliation: Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
authors.forename: Guowang
authors.initials: G
authors.lastname: Xu
mesh_terms: D000465:Algorithms; D000818:Animals; D001647:Bile Acids and Salts / Q000378:metabolism; D006528:Carcinoma, Hepatocellular / Q000209:etiology / Q000378:metabolism; D004195:Disease Models, Animal; D006801:Humans; D008113:Liver Neoplasms / Q000209:etiology / Q000378:metabolism; D055432:Metabolomics / Q000379:methods*; D008954:Models, Biological; D051381:Rats; D012307:Risk Factors
chemical_list: D001647:Bile Acids and Salts