These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

148 related articles for article (PubMed ID: 33539338)

  • 21. Characterizing regulatory path motifs in integrated networks using perturbational data.
    Joshi A; Van Parys T; Van de Peer Y; Michoel T
    Genome Biol; 2010; 11(3):R32. PubMed ID: 20230615
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Reverse engineering of dynamic networks.
    Stigler B; Jarrah A; Stillman M; Laubenbacher R
    Ann N Y Acad Sci; 2007 Dec; 1115():168-77. PubMed ID: 17925347
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Reverse engineering gene regulatory networks: coupling an optimization algorithm with a parameter identification technique.
    Hsiao YT; Lee WP
    BMC Bioinformatics; 2014; 15 Suppl 15(Suppl 15):S8. PubMed ID: 25474560
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL.
    Liu A; Trairatphisan P; Gjerga E; Didangelos A; Barratt J; Saez-Rodriguez J
    NPJ Syst Biol Appl; 2019; 5():40. PubMed ID: 31728204
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Bridge and brick network motifs: identifying significant building blocks from complex biological systems.
    Huang CY; Cheng CY; Sun CT
    Artif Intell Med; 2007 Oct; 41(2):117-27. PubMed ID: 17825540
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Inferring causal metabolic signals that regulate the dynamic TORC1-dependent transcriptome.
    Oliveira AP; Dimopoulos S; Busetto AG; Christen S; Dechant R; Falter L; Haghir Chehreghani M; Jozefczuk S; Ludwig C; Rudroff F; Schulz JC; González A; Soulard A; Stracka D; Aebersold R; Buhmann JM; Hall MN; Peter M; Sauer U; Stelling J
    Mol Syst Biol; 2015 Apr; 11(4):802. PubMed ID: 25888284
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Computational identification of transcription factor binding sites via a transcription-factor-centric clustering (TFCC) algorithm.
    Zhu Z; Pilpel Y; Church GM
    J Mol Biol; 2002 Apr; 318(1):71-81. PubMed ID: 12054769
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Time Delayed Causal Gene Regulatory Network Inference with Hidden Common Causes.
    Lo LY; Wong ML; Lee KH; Leung KS
    PLoS One; 2015; 10(9):e0138596. PubMed ID: 26394325
    [TBL] [Abstract][Full Text] [Related]  

  • 30. A method for estimating stochastic noise in large genetic regulatory networks.
    Orrell D; Ramsey S; de Atauri P; Bolouri H
    Bioinformatics; 2005 Jan; 21(2):208-17. PubMed ID: 15319259
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A bi-dimensional regression tree approach to the modeling of gene expression regulation.
    Ruan J; Zhang W
    Bioinformatics; 2006 Feb; 22(3):332-40. PubMed ID: 16303796
    [TBL] [Abstract][Full Text] [Related]  

  • 32. BowTieBuilder: modeling signal transduction pathways.
    Supper J; Spangenberg L; Planatscher H; Dräger A; Schröder A; Zell A
    BMC Syst Biol; 2009 Jun; 3():67. PubMed ID: 19566957
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Superiority of network motifs over optimal networks and an application to the revelation of gene network evolution.
    Ott S; Hansen A; Kim SY; Miyano S
    Bioinformatics; 2005 Jan; 21(2):227-38. PubMed ID: 15377501
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Inferring gene regulatory networks using differential evolution with local search heuristics.
    Noman N; Iba H
    IEEE/ACM Trans Comput Biol Bioinform; 2007; 4(4):634-47. PubMed ID: 17975274
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Modularized learning of genetic interaction networks from biological annotations and mRNA expression data.
    Lee PH; Lee D
    Bioinformatics; 2005 Jun; 21(11):2739-47. PubMed ID: 15797909
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Learning causal networks using inducible transcription factors and transcriptome-wide time series.
    Hackett SR; Baltz EA; Coram M; Wranik BJ; Kim G; Baker A; Fan M; Hendrickson DG; Berndl M; McIsaac RS
    Mol Syst Biol; 2020 Mar; 16(3):e9174. PubMed ID: 32181581
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Context Specificity in Causal Signaling Networks Revealed by Phosphoprotein Profiling.
    Hill SM; Nesser NK; Johnson-Camacho K; Jeffress M; Johnson A; Boniface C; Spencer SE; Lu Y; Heiser LM; Lawrence Y; Pande NT; Korkola JE; Gray JW; Mills GB; Mukherjee S; Spellman PT
    Cell Syst; 2017 Jan; 4(1):73-83.e10. PubMed ID: 28017544
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Minreg: inferring an active regulator set.
    Pe'er D; Regev A; Tanay A
    Bioinformatics; 2002; 18 Suppl 1():S258-67. PubMed ID: 12169555
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A computational approach to identify cellular heterogeneity and tissue-specific gene regulatory networks.
    Jambusaria A; Klomp J; Hong Z; Rafii S; Dai Y; Malik AB; Rehman J
    BMC Bioinformatics; 2018 Jun; 19(1):217. PubMed ID: 29940845
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes.
    Grzegorczyk M; Husmeier D
    Bioinformatics; 2011 Mar; 27(5):693-9. PubMed ID: 21177328
    [TBL] [Abstract][Full Text] [Related]  

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