A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma

Time-series metabolomics studies can provide insight into the dynamics of disease development and facilitate the discovery of prospective biomarkers. To improve the performance of early risk identification, a new strategy for analyzing time-series data based on dynamic networks (ATSD-DN) in a system...

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Detalles Bibliográficos
Autores principales: Huang, Xin, Zeng, Jun, Zhou, Lina, Hu, Chunxiu, Yin, Peiyuan, Lin, Xiaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006023/
https://www.ncbi.nlm.nih.gov/pubmed/27578360
http://dx.doi.org/10.1038/srep32448

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5006023/
https://www.ncbi.nlm.nih.gov/pubmed/27578360
http://dx.doi.org/10.1038/srep32448

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