BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 31881825)

  • 1. Identifying miRNA synergism using multiple-intervention causal inference.
    Zhang J; Pham VVH; Liu L; Xu T; Truong B; Li J; Rao N; Le TD
    BMC Bioinformatics; 2019 Dec; 20(Suppl 23):613. PubMed ID: 31881825
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identifying miRNA synergistic regulatory networks in heterogeneous human data via network motifs.
    Zhang J; Duy Le T; Liu L; He J; Li J
    Mol Biosyst; 2016 Feb; 12(2):454-63. PubMed ID: 26660849
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction.
    Pham VV; Zhang J; Liu L; Truong B; Xu T; Nguyen TT; Li J; Le TD
    BMC Bioinformatics; 2019 Mar; 20(1):143. PubMed ID: 30876399
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Identifying miRNA sponge modules using biclustering and regulatory scores.
    Zhang J; Le TD; Liu L; Li J
    BMC Bioinformatics; 2017 Mar; 18(Suppl 3):44. PubMed ID: 28361682
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MicroRNA expression and gene regulation drive breast cancer progression and metastasis in PyMT mice.
    Nogales-Cadenas R; Cai Y; Lin JR; Zhang Q; Zhang W; Montagna C; Zhang ZD
    Breast Cancer Res; 2016 Jul; 18(1):75. PubMed ID: 27449149
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Reconstruction of temporal activity of microRNAs from gene expression data in breast cancer cell line.
    Jayavelu ND; Bar N
    BMC Genomics; 2015 Dec; 16():1077. PubMed ID: 26763900
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Crucial microRNAs and genes of human primary breast cancer explored by microRNA-mRNA integrated analysis.
    Yang Y; Xing Y; Liang C; Hu L; Xu F; Chen Y
    Tumour Biol; 2015 Jul; 36(7):5571-9. PubMed ID: 25680412
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inferring coregulation of transcription factors and microRNAs in breast cancer.
    Wu JH; Sun YJ; Hsieh PH; Shieh GS
    Gene; 2013 Apr; 518(1):139-44. PubMed ID: 23246694
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MiRNA-miRNA synergistic network: construction via co-regulating functional modules and disease miRNA topological features.
    Xu J; Li CX; Li YS; Lv JY; Ma Y; Shao TT; Xu LD; Wang YY; Du L; Zhang YP; Jiang W; Li CQ; Xiao Y; Li X
    Nucleic Acids Res; 2011 Feb; 39(3):825-36. PubMed ID: 20929877
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer.
    Zhang J; Le TD; Liu L; Li J
    BMC Bioinformatics; 2017 May; 18(1):243. PubMed ID: 28482794
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers.
    Lee E; Ito K; Zhao Y; Schadt EE; Irie HY; Zhu J
    Bioinformatics; 2016 Jan; 32(1):96-105. PubMed ID: 26358730
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting miRNA Targets by Integrating Gene Regulatory Knowledge with Expression Profiles.
    Zhang W; Le TD; Liu L; Zhou ZH; Li J
    PLoS One; 2016; 11(4):e0152860. PubMed ID: 27064982
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Module network inference from a cancer gene expression data set identifies microRNA regulated modules.
    Bonnet E; Tatari M; Joshi A; Michoel T; Marchal K; Berx G; Van de Peer Y
    PLoS One; 2010 Apr; 5(4):e10162. PubMed ID: 20418949
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detecting pan-cancer conserved microRNA modules from microRNA expression profiles across multiple cancers.
    Liu Z; Zhang J; Yuan X; Liu B; Liu Y; Li A; Zhang Y; Sun X; Tuo S
    Mol Biosyst; 2015 Aug; 11(8):2227-37. PubMed ID: 26052692
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data.
    Zhang J; Le TD; Liu L; Liu B; He J; Goodall GJ; Li J
    J Biomed Inform; 2014 Dec; 52():438-47. PubMed ID: 25181465
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.
    Xu T; Le TD; Liu L; Wang R; Sun B; Li J
    PLoS One; 2016; 11(4):e0152792. PubMed ID: 27035433
    [TBL] [Abstract][Full Text] [Related]  

  • 18. RFCM
    Paul S; Madhumita
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(5):1729-1740. PubMed ID: 30990434
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Inferring microRNA and transcription factor regulatory networks in heterogeneous data.
    Le TD; Liu L; Liu B; Tsykin A; Goodall GJ; Satou K; Li J
    BMC Bioinformatics; 2013 Mar; 14():92. PubMed ID: 23497388
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MiRNA synergistic network construction and enrichment analysis for common target genes in small-cell lung cancer.
    Zhang TF; Cheng KW; Shi WY; Zhang JT; Liu KD; Xu SG; Chen JQ
    Asian Pac J Cancer Prev; 2012; 13(12):6375-8. PubMed ID: 23464461
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.