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

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,...

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Detalles Bibliográficos
Autores principales: Zhang, Weijian, Zhou, Lina, Yin, Peiyuan, Wang, Jinbing, Lu, Xin, Wang, Xiaomei, Chen, Jianguo, Lin, Xiaohui, Xu, Guowang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355672/
https://www.ncbi.nlm.nih.gov/pubmed/25757957
http://dx.doi.org/10.1038/srep08984

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355672/
https://www.ncbi.nlm.nih.gov/pubmed/25757957
http://dx.doi.org/10.1038/srep08984

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