[HTML][HTML] 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 …
development and facilitate the discovery of prospective biomarkers. To improve the …
[PDF][PDF] 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 - scienceopen.com
Results The workflow of the ATSD-DN strategy is given in Fig. 1. After filtering the non-
informative features by static analysis, ATSD-DN constructed the networks. ATSD-DN …
informative features by static analysis, ATSD-DN constructed the networks. ATSD-DN …
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 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Time-series metabolomics studies can provide
insight into the dynamics of disease development and facilitate the discovery of prospective …
insight into the dynamics of disease development and facilitate the discovery of prospective …
[PDF][PDF] 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 - cyberleninka.org
Results The workflow of the ATSD-DN strategy is given in Fig. 1. After filtering the non-
informative features by static analysis, ATSD-DN constructed the networks. ATSD-DN …
informative features by static analysis, ATSD-DN constructed the networks. ATSD-DN …
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… - Scientific Reports, 2016 - ui.adsabs.harvard.edu
Time-series metabolomics studies can provide insight into the dynamics of disease
development and facilitate the discovery of prospective biomarkers. To improve the …
development and facilitate the discovery of prospective biomarkers. To improve the …
[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 - ncbi.nlm.nih.gov
Time-series metabolomics studies can provide insight into the dynamics of disease
development and facilitate the discovery of prospective biomarkers. To improve the …
development and facilitate the discovery of prospective biomarkers. To improve the …
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… - Scientific …, 2016 - pubmed.ncbi.nlm.nih.gov
Time-series metabolomics studies can provide insight into the dynamics of disease
development and facilitate the discovery of prospective biomarkers. To improve the …
development and facilitate the discovery of prospective biomarkers. To improve the …
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 - europepmc.org
Time-series metabolomics studies can provide insight into the dynamics of disease
development and facilitate the discovery of prospective biomarkers. To improve the …
development and facilitate the discovery of prospective biomarkers. To improve the …