BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

266 related articles for article (PubMed ID: 30698638)

  • 1. Cancer Target Gene Screening: a web application for breast cancer target gene screening using multi-omics data analysis.
    Kim HY; Choi HJ; Lee JY; Kong G
    Brief Bioinform; 2020 Mar; 21(2):663-675. PubMed ID: 30698638
    [TBL] [Abstract][Full Text] [Related]  

  • 2. BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways.
    Kim I; Choi S; Kim S
    BMC Bioinformatics; 2018 Feb; 19(Suppl 1):42. PubMed ID: 29504910
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MOBCdb: a comprehensive database integrating multi-omics data on breast cancer for precision medicine.
    Xie B; Yuan Z; Yang Y; Sun Z; Zhou S; Fang X
    Breast Cancer Res Treat; 2018 Jun; 169(3):625-632. PubMed ID: 29429018
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of candidate cancer drivers by integrative Epi-DNA and Gene Expression (iEDGE) data analysis.
    Li A; Chapuy B; Varelas X; Sebastiani P; Monti S
    Sci Rep; 2019 Nov; 9(1):16904. PubMed ID: 31729402
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping.
    Sathyanarayanan A; Gupta R; Thompson EW; Nyholt DR; Bauer DC; Nagaraj SH
    Brief Bioinform; 2020 Dec; 21(6):1920-1936. PubMed ID: 31774481
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Classifying Breast Cancer Subtypes Using Deep Neural Networks Based on Multi-Omics Data.
    Lin Y; Zhang W; Cao H; Li G; Du W
    Genes (Basel); 2020 Aug; 11(8):. PubMed ID: 32759821
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of a 6-gene signature for the survival prediction of breast cancer patients based on integrated multi-omics data analysis.
    Mo W; Ding Y; Zhao S; Zou D; Ding X
    PLoS One; 2020; 15(11):e0241924. PubMed ID: 33170908
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MethCNA: a database for integrating genomic and epigenomic data in human cancer.
    Deng G; Yang J; Zhang Q; Xiao ZX; Cai H
    BMC Genomics; 2018 Feb; 19(1):138. PubMed ID: 29433427
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
    Tong L; Mitchel J; Chatlin K; Wang MD
    BMC Med Inform Decis Mak; 2020 Sep; 20(1):225. PubMed ID: 32933515
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classification.
    Chung RH; Kang CY
    Gigascience; 2019 May; 8(5):. PubMed ID: 31029063
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes.
    Lu X; Li X; Liu P; Qian X; Miao Q; Peng S
    Molecules; 2018 Jan; 23(2):. PubMed ID: 29364829
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating multi-omics data by learning modality invariant representations for improved prediction of overall survival of cancer.
    Tong L; Wu H; Wang MD
    Methods; 2021 May; 189():74-85. PubMed ID: 32763377
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DriverDBv3: a multi-omics database for cancer driver gene research.
    Liu SH; Shen PC; Chen CY; Hsu AN; Cho YC; Lai YL; Chen FH; Li CY; Wang SC; Chen M; Chung IF; Cheng WC
    Nucleic Acids Res; 2020 Jan; 48(D1):D863-D870. PubMed ID: 31701128
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Multi-omics facilitated variable selection in Cox-regression model for cancer prognosis prediction.
    Liu C; Wang X; Genchev GZ; Lu H
    Methods; 2017 Jul; 124():100-107. PubMed ID: 28627406
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identification of novel prognostic biomarkers by integrating multi-omics data in gastric cancer.
    Liu N; Wu Y; Cheng W; Wu Y; Wang L; Zhuang L
    BMC Cancer; 2021 Apr; 21(1):460. PubMed ID: 33902514
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Novel secretome-to-transcriptome integrated or secreto-transcriptomic approach to reveal liquid biopsy biomarkers for predicting individualized prognosis of breast cancer patients.
    Ankney JA; Xie L; Wrobel JA; Wang L; Chen X
    BMC Med Genomics; 2019 May; 12(1):78. PubMed ID: 31146747
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying subpathway signatures for individualized anticancer drug response by integrating multi-omics data.
    Xu Y; Dong Q; Li F; Xu Y; Hu C; Wang J; Shang D; Zheng X; Yang H; Zhang C; Shao M; Meng M; Xiong Z; Li X; Zhang Y
    J Transl Med; 2019 Aug; 17(1):255. PubMed ID: 31387579
    [TBL] [Abstract][Full Text] [Related]  

  • 20. canEvolve: a web portal for integrative oncogenomics.
    Samur MK; Yan Z; Wang X; Cao Q; Munshi NC; Li C; Shah PK
    PLoS One; 2013; 8(2):e56228. PubMed ID: 23418540
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.