BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

176 related articles for article (PubMed ID: 24516403)

  • 1. Coherent functional modules improve transcription factor target identification, cooperativity prediction, and disease association.
    Karczewski KJ; Snyder M; Altman RB; Tatonetti NP
    PLoS Genet; 2014 Feb; 10(2):e1004122. PubMed ID: 24516403
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Inferring functional transcription factor-gene binding pairs by integrating transcription factor binding data with transcription factor knockout data.
    Yang TH; Wu WS
    BMC Syst Biol; 2013; 7 Suppl 6(Suppl 6):S13. PubMed ID: 24565265
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Transcription factor regulatory modules provide the molecular mechanisms for functional redundancy observed among transcription factors in yeast.
    Yang TH
    BMC Bioinformatics; 2019 Dec; 20(Suppl 23):630. PubMed ID: 31881824
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ChIP-GSM: Inferring active transcription factor modules to predict functional regulatory elements.
    Chen X; Neuwald AF; Hilakivi-Clarke L; Clarke R; Xuan J
    PLoS Comput Biol; 2021 Jul; 17(7):e1009203. PubMed ID: 34292930
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of transcription factor's targets using tissue-specific transcriptomic data in Arabidopsis thaliana.
    Srivastava GP; Li P; Liu J; Xu D
    BMC Syst Biol; 2010 Sep; 4 Suppl 2(Suppl 2):S2. PubMed ID: 20840729
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An improved ChIP-seq peak detection system for simultaneously identifying post-translational modified transcription factors by combinatorial fusion, using SUMOylation as an example.
    Cheng CY; Chu CH; Hsu HW; Hsu FR; Tang CY; Wang WC; Kung HJ; Chang PC
    BMC Genomics; 2014; 15 Suppl 1(Suppl 1):S1. PubMed ID: 24564277
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Properly defining the targets of a transcription factor significantly improves the computational identification of cooperative transcription factor pairs in yeast.
    Wu WS; Lai FJ
    BMC Genomics; 2015; 16 Suppl 12(Suppl 12):S10. PubMed ID: 26679776
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identifying combinatorial regulation of transcription factors and binding motifs.
    Kato M; Hata N; Banerjee N; Futcher B; Zhang MQ
    Genome Biol; 2004; 5(8):R56. PubMed ID: 15287978
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved recovery of cell-cycle gene expression in Saccharomyces cerevisiae from regulatory interactions in multiple omics data.
    Panchy NL; Lloyd JP; Shiu SH
    BMC Genomics; 2020 Feb; 21(1):159. PubMed ID: 32054475
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying biologically interpretable transcription factor knockout targets by jointly analyzing the transcription factor knockout microarray and the ChIP-chip data.
    Yang TH; Wu WS
    BMC Syst Biol; 2012 Aug; 6():102. PubMed ID: 22898448
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Systematic identification of yeast cell cycle transcription factors using multiple data sources.
    Wu WS; Li WH
    BMC Bioinformatics; 2008 Dec; 9():522. PubMed ID: 19061501
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identifying cooperativity among transcription factors controlling the cell cycle in yeast.
    Banerjee N; Zhang MQ
    Nucleic Acids Res; 2003 Dec; 31(23):7024-31. PubMed ID: 14627835
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A biophysical model for analysis of transcription factor interaction and binding site arrangement from genome-wide binding data.
    He X; Chen CC; Hong F; Fang F; Sinha S; Ng HH; Zhong S
    PLoS One; 2009 Dec; 4(12):e8155. PubMed ID: 19956545
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Comprehensive Drosophila melanogaster Transcription Factor Interactome.
    Shokri L; Inukai S; Hafner A; Weinand K; Hens K; Vedenko A; Gisselbrecht SS; Dainese R; Bischof J; Furger E; Feuz JD; Basler K; Deplancke B; Bulyk ML
    Cell Rep; 2019 Apr; 27(3):955-970.e7. PubMed ID: 30995488
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrating genomic data to predict transcription factor binding.
    Holloway DT; Kon M; DeLisi C
    Genome Inform; 2005; 16(1):83-94. PubMed ID: 16362910
    [TBL] [Abstract][Full Text] [Related]  

  • 18. hTFtarget: A Comprehensive Database for Regulations of Human Transcription Factors and Their Targets.
    Zhang Q; Liu W; Zhang HM; Xie GY; Miao YR; Xia M; Guo AY
    Genomics Proteomics Bioinformatics; 2020 Apr; 18(2):120-128. PubMed ID: 32858223
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data.
    Wu WS; Li WH; Chen BS
    BMC Bioinformatics; 2007 Jun; 8():188. PubMed ID: 17559637
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Inferring condition-specific targets of human TF-TF complexes using ChIP-seq data.
    Yang CC; Chen MH; Lin SY; Andrews EH; Cheng C; Liu CC; Chen JJ
    BMC Genomics; 2017 Jan; 18(1):61. PubMed ID: 28068916
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.