BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

223 related articles for article (PubMed ID: 33639858)

  • 1. Multi-dimensional data integration algorithm based on random walk with restart.
    Wen Y; Song X; Yan B; Yang X; Wu L; Leng D; He S; Bo X
    BMC Bioinformatics; 2021 Feb; 22(1):97. PubMed ID: 33639858
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Network-based prioritization of cancer genes by integrative ranks from multi-omics data.
    Shang H; Liu ZP
    Comput Biol Med; 2020 Apr; 119():103692. PubMed ID: 32339126
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MRWMDA: A novel framework to infer miRNA-disease associations.
    Wang M; Zhu P
    Biosystems; 2021 Jan; 199():104292. PubMed ID: 33221377
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Network-based ranking methods for prediction of novel disease associated microRNAs.
    Le DH
    Comput Biol Chem; 2015 Oct; 58():139-48. PubMed ID: 26231308
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identifying Cancer genes by combining two-rounds RWR based on multiple biological data.
    Zhang W; Lei Ieee Member X; Bian C
    BMC Bioinformatics; 2019 Nov; 20(Suppl 18):518. PubMed ID: 31760937
    [TBL] [Abstract][Full Text] [Related]  

  • 6. HCNM: Heterogeneous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction.
    Vangimalla RR; Sreevalsan-Nair J
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1880-1886. PubMed ID: 34891654
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Random walk with restart on multiplex and heterogeneous biological networks.
    Valdeolivas A; Tichit L; Navarro C; Perrin S; Odelin G; Levy N; Cau P; Remy E; Baudot A
    Bioinformatics; 2019 Feb; 35(3):497-505. PubMed ID: 30020411
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Topological integration of RPPA proteomic data with multi-omics data for survival prediction in breast cancer via pathway activity inference.
    Kim TR; Jeong HH; Sohn KA
    BMC Med Genomics; 2019 Jul; 12(Suppl 5):94. PubMed ID: 31296204
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Survey and comparative assessments of computational multi-omics integrative methods with multiple regulatory networks identifying distinct tumor compositions across pan-cancer data sets.
    Wei Z; Zhang Y; Weng W; Chen J; Cai H
    Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32533167
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A scalable random walk with restart on heterogeneous networks with Apache Spark for ranking disease-related genes through type-II fuzzy data fusion.
    Joodaki M; Ghadiri N; Maleki Z; Lotfi Shahreza M
    J Biomed Inform; 2021 Mar; 115():103688. PubMed ID: 33545331
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Integration of multi-omics data to mine cancer-related gene modules.
    Li P; Guo M; Sun B
    J Bioinform Comput Biol; 2019 Dec; 17(6):1950038. PubMed ID: 32019413
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.
    Fan XN; Zhang SW; Zhang SY; Zhu K; Lu S
    BMC Bioinformatics; 2019 Feb; 20(1):87. PubMed ID: 30782113
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Capturing the latent space of an Autoencoder for multi-omics integration and cancer subtyping.
    Madhumita ; Paul S
    Comput Biol Med; 2022 Sep; 148():105832. PubMed ID: 35834966
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust clustering of noisy high-dimensional gene expression data for patients subtyping.
    Coretto P; Serra A; Tagliaferri R
    Bioinformatics; 2018 Dec; 34(23):4064-4072. PubMed ID: 29939219
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Random Walk Based Cluster Ensemble Approach for Data Integration and Cancer Subtyping.
    Yang C; Wang YT; Zheng CH
    Genes (Basel); 2019 Jan; 10(1):. PubMed ID: 30669418
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data.
    El-Manzalawy Y; Hsieh TY; Shivakumar M; Kim D; Honavar V
    BMC Med Genomics; 2018 Sep; 11(Suppl 3):71. PubMed ID: 30255801
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification.
    Wu D; Wang D; Zhang MQ; Gu J
    BMC Genomics; 2015 Dec; 16():1022. PubMed ID: 26626453
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gene gravity-like algorithm for disease gene prediction based on phenotype-specific network.
    Lin L; Yang T; Fang L; Yang J; Yang F; Zhao J
    BMC Syst Biol; 2017 Dec; 11(1):121. PubMed ID: 29212543
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A network embedding based method for partial multi-omics integration in cancer subtyping.
    Xu H; Gao L; Huang M; Duan R
    Methods; 2021 Aug; 192():67-76. PubMed ID: 32805397
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A computational method using the random walk with restart algorithm for identifying novel epigenetic factors.
    Li J; Chen L; Wang S; Zhang Y; Kong X; Huang T; Cai YD
    Mol Genet Genomics; 2018 Feb; 293(1):293-301. PubMed ID: 28932904
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.