616 related articles for article (PubMed ID: 29504910)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Identification of Gene Expression Pattern Related to Breast Cancer Survival Using Integrated TCGA Datasets and Genomic Tools.
Huang Z; Duan H; Li H
Biomed Res Int; 2015; 2015():878546. PubMed ID: 26576432
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Web-TCGA: an online platform for integrated analysis of molecular cancer data sets.
Deng M; Brägelmann J; Schultze JL; Perner S
BMC Bioinformatics; 2016 Feb; 17():72. PubMed ID: 26852330
[TBL] [Abstract][Full Text] [Related]
11. Integrating multiple omics data for the discovery of potential Beclin-1 interactions in breast cancer.
Chen Y; Wang X; Wang G; Li Z; Wang J; Huang L; Qin Z; Yuan X; Cheng Z; Zhang S; Yin Y; He J
Mol Biosyst; 2017 May; 13(5):991-999. PubMed ID: 28401970
[TBL] [Abstract][Full Text] [Related]
12. LinkedOmics: analyzing multi-omics data within and across 32 cancer types.
Vasaikar SV; Straub P; Wang J; Zhang B
Nucleic Acids Res; 2018 Jan; 46(D1):D956-D963. PubMed ID: 29136207
[TBL] [Abstract][Full Text] [Related]
13. Associating expression and genomic data using co-occurrence measures.
Larmuseau M; Verbeke LPC; Marchal K
Biol Direct; 2019 May; 14(1):10. PubMed ID: 31072345
[TBL] [Abstract][Full Text] [Related]
14. Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration.
Verbeke LP; Van den Eynden J; Fierro AC; Demeester P; Fostier J; Marchal K
PLoS One; 2015; 10(7):e0133503. PubMed ID: 26217958
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Deep Pathway Analysis V2.0: A Pathway Analysis Framework Incorporating Multi-Dimensional Omics Data.
Zhao Y; Shin DG
IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(1):373-385. PubMed ID: 31603796
[TBL] [Abstract][Full Text] [Related]
17. Robust pathway-based multi-omics data integration using directed random walks for survival prediction in multiple cancer studies.
Kim SY; Jeong HH; Kim J; Moon JH; Sohn KA
Biol Direct; 2019 Apr; 14(1):8. PubMed ID: 31036036
[TBL] [Abstract][Full Text] [Related]
18. CAS-viewer: web-based tool for splicing-guided integrative analysis of multi-omics cancer data.
Han S; Kim D; Kim Y; Choi K; Miller JE; Kim D; Lee Y
BMC Med Genomics; 2018 Apr; 11(Suppl 2):25. PubMed ID: 29697367
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identifying mutated driver pathways in cancer by integrating multi-omics data.
Wu J; Cai Q; Wang J; Liao Y
Comput Biol Chem; 2019 Jun; 80():159-167. PubMed ID: 30959272
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
