BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 28678795)

  • 1. Quantifying critical states of complex diseases using single-sample dynamic network biomarkers.
    Liu X; Chang X; Liu R; Yu X; Chen L; Aihara K
    PLoS Comput Biol; 2017 Jul; 13(7):e1005633. PubMed ID: 28678795
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detection for disease tipping points by landscape dynamic network biomarkers.
    Liu X; Chang X; Leng S; Tang H; Aihara K; Chen L
    Natl Sci Rev; 2019 Jul; 6(4):775-785. PubMed ID: 34691933
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Individual-specific edge-network analysis for disease prediction.
    Yu X; Zhang J; Sun S; Zhou X; Zeng T; Chen L
    Nucleic Acids Res; 2017 Nov; 45(20):e170. PubMed ID: 28981699
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detecting tissue-specific early warning signals for complex diseases based on dynamical network biomarkers: study of type 2 diabetes by cross-tissue analysis.
    Li M; Zeng T; Liu R; Chen L
    Brief Bioinform; 2014 Mar; 15(2):229-43. PubMed ID: 23620135
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying critical transitions of complex diseases based on a single sample.
    Liu R; Yu X; Liu X; Xu D; Aihara K; Chen L
    Bioinformatics; 2014 Jun; 30(11):1579-86. PubMed ID: 24519381
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identifying critical states of hepatocellular carcinoma based on landscape dynamic network biomarkers.
    Sun Y; Zhao H; Wu M; Xu J; Zhu S; Gao J
    Comput Biol Chem; 2020 Apr; 85():107202. PubMed ID: 31951859
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Detecting the tipping points in a three-state model of complex diseases by temporal differential networks.
    Chen P; Li Y; Liu X; Liu R; Chen L
    J Transl Med; 2017 Oct; 15(1):217. PubMed ID: 29073904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Personalized Early-Warning Signals during Progression of Human Coronary Atherosclerosis by Landscape Dynamic Network Biomarker.
    Ge J; Song C; Zhang C; Liu X; Chen J; Dou K; Chen L
    Genes (Basel); 2020 Jun; 11(6):. PubMed ID: 32575789
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Low-Grade Dysplastic Nodules Revealed as the Tipping Point during Multistep Hepatocarcinogenesis by Dynamic Network Biomarkers.
    Lu L; Jiang Z; Dai Y; Chen L
    Genes (Basel); 2017 Oct; 8(10):. PubMed ID: 29027943
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying critical state of complex diseases by single-sample Kullback-Leibler divergence.
    Zhong J; Liu R; Chen P
    BMC Genomics; 2020 Jan; 21(1):87. PubMed ID: 31992202
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Identifying critical state of breast cancer cell differentiation based on landscape dynamic network biomarkers].
    Zhao H; Gao J
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2020 Apr; 37(2):304-310. PubMed ID: 32329283
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identifying Critical States of Complex Diseases by Single-Sample Jensen-Shannon Divergence.
    Yan J; Li P; Gao R; Li Y; Chen L
    Front Oncol; 2021; 11():684781. PubMed ID: 34150649
    [TBL] [Abstract][Full Text] [Related]  

  • 13. SPNE: sample-perturbed network entropy for revealing critical states of complex biological systems.
    Zhong J; Ding D; Liu J; Liu R; Chen P
    Brief Bioinform; 2023 Mar; 24(2):. PubMed ID: 36705581
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CPMI: comprehensive neighborhood-based perturbed mutual information for identifying critical states of complex biological processes.
    Ren J; Li P; Yan J
    BMC Bioinformatics; 2024 Jun; 25(1):215. PubMed ID: 38879513
    [TBL] [Abstract][Full Text] [Related]  

  • 15. mNFE: microbiome network flow entropy for detecting pre-disease states of type 1 diabetes.
    Gao R; Li P; Ni Y; Peng X; Ren J; Chen L
    Gut Microbes; 2024; 16(1):2327349. PubMed ID: 38512768
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Single-sample landscape entropy reveals the imminent phase transition during disease progression.
    Liu R; Chen P; Chen L
    Bioinformatics; 2020 Mar; 36(5):1522-1532. PubMed ID: 31598632
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying Critical State of Complex Diseases by Single-Sample-Based Hidden Markov Model.
    Liu R; Zhong J; Yu X; Li Y; Chen P
    Front Genet; 2019; 10():285. PubMed ID: 31019526
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detecting early-warning signals of influenza outbreak based on dynamic network marker.
    Chen P; Chen E; Chen L; Zhou XJ; Liu R
    J Cell Mol Med; 2019 Jan; 23(1):395-404. PubMed ID: 30338927
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers.
    Zhu S; Gao J; Ding T; Xu J; Wu M
    Biomed Res Int; 2018; 2018():6807059. PubMed ID: 29662893
    [No Abstract]   [Full Text] [Related]  

  • 20. Identifying the critical state of cancers by single-sample Markov flow entropy.
    Liu J; Tao Y; Lan R; Zhong J; Liu R; Chen P
    PeerJ; 2023; 11():e15695. PubMed ID: 37520244
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.