These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

141 related articles for article (PubMed ID: 31888634)

  • 21. NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information.
    Ji BY; You ZH; Chen ZH; Wong L; Yi HC
    BMC Bioinformatics; 2020 Sep; 21(1):401. PubMed ID: 32912137
    [TBL] [Abstract][Full Text] [Related]  

  • 22. PmDNE: Prediction of miRNA-Disease Association Based on Network Embedding and Network Similarity Analysis.
    Li J; Liu Y; Zhang Z; Liu B; Wang Y
    Biomed Res Int; 2020; 2020():6248686. PubMed ID: 33354569
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.
    You ZH; Yin Z; Han K; Huang DS; Zhou X
    BMC Bioinformatics; 2010 Jun; 11():343. PubMed ID: 20573270
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
    Zhu J; Zheng Z; Yang M; Fung GPC; Huang C
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(2):797-803. PubMed ID: 31581089
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Analysis of potential genetic biomarkers and molecular mechanism of smoking-related postmenopausal osteoporosis using weighted gene co-expression network analysis and machine learning.
    Li S; Chen B; Chen H; Hua Z; Shao Y; Yin H; Wang J
    PLoS One; 2021; 16(9):e0257343. PubMed ID: 34555052
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
    Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
    Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of Latent Oncogenes with a Network Embedding Method and Random Forest.
    Zhao R; Hu B; Chen L; Zhou B
    Biomed Res Int; 2020; 2020():5160396. PubMed ID: 33029511
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Topology Driven Analysis of Protein - Protein Interactome for Prioritizing Key Comorbid Genes via Sub Graph Based Average Path Length Centrality.
    Suresh NT; E R V; Krishnakumar U
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(1):742-751. PubMed ID: 34986099
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding.
    Nasiri E; Berahmand K; Rostami M; Dabiri M
    Comput Biol Med; 2021 Oct; 137():104772. PubMed ID: 34450380
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A network-based machine-learning framework to identify both functional modules and disease genes.
    Yang K; Lu K; Wu Y; Yu J; Liu B; Zhao Y; Chen J; Zhou X
    Hum Genet; 2021 Jun; 140(6):897-913. PubMed ID: 33409574
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Network-based protein-protein interaction prediction method maps perturbations of cancer interactome.
    Qiu J; Chen K; Zhong C; Zhu S; Ma X
    PLoS Genet; 2021 Nov; 17(11):e1009869. PubMed ID: 34727106
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Co-Embedding of Nodes and Edges With Graph Neural Networks.
    Jiang X; Zhu R; Ji P; Li S
    IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7075-7086. PubMed ID: 33052851
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Identification of infectious disease-associated host genes using machine learning techniques.
    Barman RK; Mukhopadhyay A; Maulik U; Das S
    BMC Bioinformatics; 2019 Dec; 20(1):736. PubMed ID: 31881961
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model.
    Ji BY; You ZH; Cheng L; Zhou JR; Alghazzawi D; Li LP
    Sci Rep; 2020 Apr; 10(1):6658. PubMed ID: 32313121
    [TBL] [Abstract][Full Text] [Related]  

  • 35. NSL2CD: identifying potential circRNA-disease associations based on network embedding and subspace learning.
    Xiao Q; Fu Y; Yang Y; Dai J; Luo J
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 33954582
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Mining functional subgraphs from cancer protein-protein interaction networks.
    Shen R; Goonesekere NC; Guda C
    BMC Syst Biol; 2012; 6 Suppl 3(Suppl 3):S2. PubMed ID: 23282132
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Identification of drug-target interaction from interactome network with 'guilt-by-association' principle and topology features.
    Li ZC; Huang MH; Zhong WQ; Liu ZQ; Xie Y; Dai Z; Zou XY
    Bioinformatics; 2016 Apr; 32(7):1057-64. PubMed ID: 26614126
    [TBL] [Abstract][Full Text] [Related]  

  • 38. The extraction of drug-disease correlations based on module distance in incomplete human interactome.
    Yu L; Wang B; Ma X; Gao L
    BMC Syst Biol; 2016 Dec; 10(Suppl 4):111. PubMed ID: 28155709
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting Disease Related microRNA Based on Similarity and Topology.
    Chen Z; Wang X; Gao P; Liu H; Song B
    Cells; 2019 Nov; 8(11):. PubMed ID: 31703479
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Link Prediction Only With Interaction Data and its Application on Drug Repositioning.
    Liu J; Zuo Z; Wu G
    IEEE Trans Nanobioscience; 2020 Jul; 19(3):547-555. PubMed ID: 32340956
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.