BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 29297310)

  • 1. MultiDCoX: Multi-factor analysis of differential co-expression.
    Liany H; Rajapakse JC; Karuturi RKM
    BMC Bioinformatics; 2017 Dec; 18(Suppl 16):576. PubMed ID: 29297310
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Efficient proximal gradient algorithm for inference of differential gene networks.
    Wang C; Gao F; Giannakis GB; D'Urso G; Cai X
    BMC Bioinformatics; 2019 May; 20(1):224. PubMed ID: 31046666
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrative analysis of survival-associated gene sets in breast cancer.
    Varn FS; Ung MH; Lou SK; Cheng C
    BMC Med Genomics; 2015 Mar; 8():11. PubMed ID: 25881247
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MetaDCN: meta-analysis framework for differential co-expression network detection with an application in breast cancer.
    Zhu L; Ding Y; Chen CY; Wang L; Huo Z; Kim S; Sotiriou C; Oesterreich S; Tseng GC
    Bioinformatics; 2017 Apr; 33(8):1121-1129. PubMed ID: 28031185
    [TBL] [Abstract][Full Text] [Related]  

  • 5. DECODE: an integrated differential co-expression and differential expression analysis of gene expression data.
    Lui TW; Tsui NB; Chan LW; Wong CS; Siu PM; Yung BY
    BMC Bioinformatics; 2015 May; 16():182. PubMed ID: 26026612
    [TBL] [Abstract][Full Text] [Related]  

  • 6. FGMD: A novel approach for functional gene module detection in cancer.
    Jin D; Lee H
    PLoS One; 2017; 12(12):e0188900. PubMed ID: 29244808
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying condition specific key genes from basal-like breast cancer gene expression data.
    Maind A; Raut S
    Comput Biol Chem; 2019 Feb; 78():367-374. PubMed ID: 30655072
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Altered Pathway Analyzer: A gene expression dataset analysis tool for identification and prioritization of differentially regulated and network rewired pathways.
    Kaushik A; Ali S; Gupta D
    Sci Rep; 2017 Jan; 7():40450. PubMed ID: 28084397
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.
    Ma S; Jiang T; Jiang R
    Bioinformatics; 2015 Feb; 31(4):563-71. PubMed ID: 25322838
    [TBL] [Abstract][Full Text] [Related]  

  • 10. CoGA: An R Package to Identify Differentially Co-Expressed Gene Sets by Analyzing the Graph Spectra.
    Santos Sde S; Galatro TF; Watanabe RA; Oba-Shinjo SM; Nagahashi Marie SK; Fujita A
    PLoS One; 2015; 10(8):e0135831. PubMed ID: 26313749
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A novel framework for inferring condition-specific TF and miRNA co-regulation of protein-protein interactions.
    Zhang J; Le TD; Liu L; He J; Li J
    Gene; 2016 Feb; 577(1):55-64. PubMed ID: 26611531
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differential network analysis reveals the genome-wide landscape of estrogen receptor modulation in hormonal cancers.
    Hsiao TH; Chiu YC; Hsu PY; Lu TP; Lai LC; Tsai MH; Huang TH; Chuang EY; Chen Y
    Sci Rep; 2016 Mar; 6():23035. PubMed ID: 26972162
    [TBL] [Abstract][Full Text] [Related]  

  • 13. BFDCA: A Comprehensive Tool of Using Bayes Factor for Differential Co-Expression Analysis.
    Wang D; Wang J; Jiang Y; Liang Y; Xu D
    J Mol Biol; 2017 Feb; 429(3):446-453. PubMed ID: 27984044
    [TBL] [Abstract][Full Text] [Related]  

  • 14. SAGA: a hybrid search algorithm for Bayesian Network structure learning of transcriptional regulatory networks.
    Adabor ES; Acquaah-Mensah GK; Oduro FT
    J Biomed Inform; 2015 Feb; 53():27-35. PubMed ID: 25181467
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Highly informative marker sets consisting of genes with low individual degree of differential expression.
    Galatenko VV; Shkurnikov MY; Samatov TR; Galatenko AV; Mityakina IA; Kaprin AD; Schumacher U; Tonevitsky AG
    Sci Rep; 2015 Oct; 5():14967. PubMed ID: 26446398
    [TBL] [Abstract][Full Text] [Related]  

  • 16. BCIP: a gene-centered platform for identifying potential regulatory genes in breast cancer.
    Wu J; Hu S; Chen Y; Li Z; Zhang J; Yuan H; Shi Q; Shao N; Ying X
    Sci Rep; 2017 Mar; 7():45235. PubMed ID: 28327601
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A gene-signature progression approach to identifying candidate small-molecule cancer therapeutics with connectivity mapping.
    Wen Q; Kim CS; Hamilton PW; Zhang SD
    BMC Bioinformatics; 2016 May; 17(1):211. PubMed ID: 27170106
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Confident difference criterion: a new Bayesian differentially expressed gene selection algorithm with applications.
    Yu F; Chen MH; Kuo L; Talbott H; Davis JS
    BMC Bioinformatics; 2015 Aug; 16():245. PubMed ID: 26250443
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The expression of CXCL13 and its relation to unfavorable clinical characteristics in young breast cancer.
    Chen L; Huang Z; Yao G; Lyu X; Li J; Hu X; Cai Y; Li W; Li X; Ye C
    J Transl Med; 2015 May; 13():168. PubMed ID: 25990390
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Gene expression analysis in clear cell renal cell carcinoma using gene set enrichment analysis for biostatistical management.
    Maruschke M; Reuter D; Koczan D; Hakenberg OW; Thiesen HJ
    BJU Int; 2011 Jul; 108(2 Pt 2):E29-35. PubMed ID: 21435154
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.