BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

395 related articles for article (PubMed ID: 20942926)

  • 1. Trimming of mammalian transcriptional networks using network component analysis.
    Tran LM; Hyduke DR; Liao JC
    BMC Bioinformatics; 2010 Oct; 11():511. PubMed ID: 20942926
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transcriptome network component analysis with limited microarray data.
    Galbraith SJ; Tran LM; Liao JC
    Bioinformatics; 2006 Aug; 22(15):1886-94. PubMed ID: 16766556
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Network component analysis provides quantitative insights on an Arabidopsis transcription factor-gene regulatory network.
    Misra A; Sriram G
    BMC Syst Biol; 2013 Nov; 7():126. PubMed ID: 24228871
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Inferring the regulatory interaction models of transcription factors in transcriptional regulatory networks.
    Awad S; Panchy N; Ng SK; Chen J
    J Bioinform Comput Biol; 2012 Oct; 10(5):1250012. PubMed ID: 22849367
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Temporal transcriptional logic of dynamic regulatory networks underlying nitrogen signaling and use in plants.
    Varala K; Marshall-Colón A; Cirrone J; Brooks MD; Pasquino AV; Léran S; Mittal S; Rock TM; Edwards MB; Kim GJ; Ruffel S; McCombie WR; Shasha D; Coruzzi GM
    Proc Natl Acad Sci U S A; 2018 Jun; 115(25):6494-6499. PubMed ID: 29769331
    [TBL] [Abstract][Full Text] [Related]  

  • 7. TF-centered downstream gene set enrichment analysis: Inference of causal regulators by integrating TF-DNA interactions and protein post-translational modifications information.
    Liu Q; Tan Y; Huang T; Ding G; Tu Z; Liu L; Li Y; Dai H; Xie L
    BMC Bioinformatics; 2010 Dec; 11 Suppl 11(Suppl 11):S5. PubMed ID: 21172055
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Network motif-based identification of transcription factor-target gene relationships by integrating multi-source biological data.
    Zhang Y; Xuan J; de los Reyes BG; Clarke R; Ressom HW
    BMC Bioinformatics; 2008 Apr; 9():203. PubMed ID: 18426580
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Systems biology approach identifies key regulators and the interplay between miRNAs and transcription factors for pathological cardiac hypertrophy.
    Recamonde-Mendoza M; Werhli AV; Biolo A
    Gene; 2019 May; 698():157-169. PubMed ID: 30844478
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Systematic target function annotation of human transcription factors.
    Li YF; Altman RB
    BMC Biol; 2018 Jan; 16(1):4. PubMed ID: 29325558
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Reconstruction of transcriptional regulatory networks by stability-based network component analysis.
    Chen X; Xuan J; Wang C; Shajahan AN; Riggins RB; Clarke R
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(6):1347-58. PubMed ID: 24407294
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A transcriptional dynamic network during Arabidopsis thaliana pollen development.
    Wang J; Qiu X; Li Y; Deng Y; Shi T
    BMC Syst Biol; 2011; 5 Suppl 3(Suppl 3):S8. PubMed ID: 22784627
    [TBL] [Abstract][Full Text] [Related]  

  • 14. TF-Cluster: a pipeline for identifying functionally coordinated transcription factors via network decomposition of the shared coexpression connectivity matrix (SCCM).
    Nie J; Stewart R; Zhang H; Thomson JA; Ruan F; Cui X; Wei H
    BMC Syst Biol; 2011 Apr; 5():53. PubMed ID: 21496241
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Unraveling transcriptional regulatory programs by integrative analysis of microarray and transcription factor binding data.
    Li H; Zhan M
    Bioinformatics; 2008 Sep; 24(17):1874-80. PubMed ID: 18586698
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Latent Semantic Indexing of PubMed abstracts for identification of transcription factor candidates from microarray derived gene sets.
    Roy S; Heinrich K; Phan V; Berry MW; Homayouni R
    BMC Bioinformatics; 2011 Oct; 12 Suppl 10(Suppl 10):S19. PubMed ID: 22165960
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Building High-Confidence Gene Regulatory Networks by Integrating Validated TF-Target Gene Interactions Using ConnecTF.
    Huang J; Katari MS; Juang CL; Coruzzi GM; Brooks MD
    Methods Mol Biol; 2023; 2698():195-220. PubMed ID: 37682477
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Reconstructing genome-wide regulatory network of E. coli using transcriptome data and predicted transcription factor activities.
    Fu Y; Jarboe LR; Dickerson JA
    BMC Bioinformatics; 2011 Jun; 12():233. PubMed ID: 21668997
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Controllability analysis of transcriptional regulatory networks reveals circular control patterns among transcription factors.
    Österlund T; Bordel S; Nielsen J
    Integr Biol (Camb); 2015 May; 7(5):560-8. PubMed ID: 25855217
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Factor analysis for gene regulatory networks and transcription factor activity profiles.
    Pournara I; Wernisch L
    BMC Bioinformatics; 2007 Feb; 8():61. PubMed ID: 17319944
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.