BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

159 related articles for article (PubMed ID: 35243375)

  • 21. Network motif-based analysis of regulatory patterns in paralogous gene pairs.
    Melkus G; Rucevskis P; Celms E; Čerāns K; Freivalds K; Kikusts P; Lace L; Opmanis M; Rituma D; Viksna J
    J Bioinform Comput Biol; 2020 Jun; 18(3):2040008. PubMed ID: 32698721
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Mapping functional transcription factor networks from gene expression data.
    Haynes BC; Maier EJ; Kramer MH; Wang PI; Brown H; Brent MR
    Genome Res; 2013 Aug; 23(8):1319-28. PubMed ID: 23636944
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. Functional dissection of regulatory models using gene expression data of deletion mutants.
    Li J; Liu Y; Liu M; Han JD
    PLoS Genet; 2013; 9(9):e1003757. PubMed ID: 24039601
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Switched Latent Force Models for Reverse-Engineering Transcriptional Regulation in Gene Expression Data.
    Lopez-Lopera AF; Alvarez MA
    IEEE/ACM Trans Comput Biol Bioinform; 2019; 16(1):322-335. PubMed ID: 29990003
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Adaptive modelling of gene regulatory network using Bayesian information criterion-guided sparse regression approach.
    Shi M; Shen W; Wang HQ; Chong Y
    IET Syst Biol; 2016 Dec; 10(6):252-259. PubMed ID: 27879480
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Genome-Scale
    Ando D; García Martín H
    Methods Mol Biol; 2019; 1859():317-345. PubMed ID: 30421239
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An approach for reduction of false predictions in reverse engineering of gene regulatory networks.
    Khan A; Saha G; Pal RK
    J Theor Biol; 2018 May; 445():9-30. PubMed ID: 29462626
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Unraveling condition-dependent networks of transcription factors that control metabolic pathway activity in yeast.
    Fendt SM; Oliveira AP; Christen S; Picotti P; Dechant RC; Sauer U
    Mol Syst Biol; 2010 Nov; 6():432. PubMed ID: 21119627
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique.
    Morshed N; Chetty M; Nguyen XV
    BMC Syst Biol; 2012 Jun; 6():62. PubMed ID: 22691450
    [TBL] [Abstract][Full Text] [Related]  

  • 31. TRFBA: an algorithm to integrate genome-scale metabolic and transcriptional regulatory networks with incorporation of expression data.
    Motamedian E; Mohammadi M; Shojaosadati SA; Heydari M
    Bioinformatics; 2017 Apr; 33(7):1057-1063. PubMed ID: 28065897
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Genomic analysis reveals a tight link between transcription factor dynamics and regulatory network architecture.
    Jothi R; Balaji S; Wuster A; Grochow JA; Gsponer J; Przytycka TM; Aravind L; Babu MM
    Mol Syst Biol; 2009; 5():294. PubMed ID: 19690563
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Integrated analysis of regulatory and metabolic networks reveals novel regulatory mechanisms in Saccharomyces cerevisiae.
    Herrgård MJ; Lee BS; Portnoy V; Palsson BØ
    Genome Res; 2006 May; 16(5):627-35. PubMed ID: 16606697
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Expression levels of transcription factors in Escherichia coli: growth phase- and growth condition-dependent variation of 90 regulators from six families.
    Yamamoto K; Watanabe H; Ishihama A
    Microbiology (Reading); 2014 Sep; 160(Pt 9):1903-1913. PubMed ID: 25037164
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Large-scale dynamic gene regulatory network inference combining differential equation models with local dynamic Bayesian network analysis.
    Li Z; Li P; Krishnan A; Liu J
    Bioinformatics; 2011 Oct; 27(19):2686-91. PubMed ID: 21816876
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Interplay between network structures, regulatory modes and sensing mechanisms of transcription factors in the transcriptional regulatory network of E. coli.
    Balaji S; Babu MM; Aravind L
    J Mol Biol; 2007 Sep; 372(4):1108-1122. PubMed ID: 17706247
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Plant-Derived Transcription Factors for Orthologous Regulation of Gene Expression in the Yeast Saccharomyces cerevisiae.
    Naseri G; Balazadeh S; Machens F; Kamranfar I; Messerschmidt K; Mueller-Roeber B
    ACS Synth Biol; 2017 Sep; 6(9):1742-1756. PubMed ID: 28531348
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deciphering transcriptional regulations coordinating the response to environmental changes.
    Acuña V; Aravena A; Guziolowski C; Eveillard D; Siegel A; Maass A
    BMC Bioinformatics; 2016 Jan; 17():35. PubMed ID: 26772805
    [TBL] [Abstract][Full Text] [Related]  

  • 39. 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]  

  • 40. 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]  

    [Previous]   [Next]    [New Search]
    of 8.