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 *

483 related articles for article (PubMed ID: 15877074)

  • 21. The genetic landscape of a cell.
    Costanzo M; Baryshnikova A; Bellay J; Kim Y; Spear ED; Sevier CS; Ding H; Koh JL; Toufighi K; Mostafavi S; Prinz J; St Onge RP; VanderSluis B; Makhnevych T; Vizeacoumar FJ; Alizadeh S; Bahr S; Brost RL; Chen Y; Cokol M; Deshpande R; Li Z; Lin ZY; Liang W; Marback M; Paw J; San Luis BJ; Shuteriqi E; Tong AH; van Dyk N; Wallace IM; Whitney JA; Weirauch MT; Zhong G; Zhu H; Houry WA; Brudno M; Ragibizadeh S; Papp B; Pál C; Roth FP; Giaever G; Nislow C; Troyanskaya OG; Bussey H; Bader GD; Gingras AC; Morris QD; Kim PM; Kaiser CA; Myers CL; Andrews BJ; Boone C
    Science; 2010 Jan; 327(5964):425-31. PubMed ID: 20093466
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection.
    Milias-Argeitis A; Oliveira AP; Gerosa L; Falter L; Sauer U; Lygeros J
    PLoS Comput Biol; 2016 Mar; 12(3):e1004784. PubMed ID: 26967983
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Integrated analysis of multiple data sources reveals modular structure of biological networks.
    Lu H; Shi B; Wu G; Zhang Y; Zhu X; Zhang Z; Liu C; Zhao Y; Wu T; Wang J; Chen R
    Biochem Biophys Res Commun; 2006 Jun; 345(1):302-9. PubMed ID: 16690033
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Modular biological function is most effectively captured by combining molecular interaction data types.
    Ames RM; Macpherson JI; Pinney JW; Lovell SC; Robertson DL
    PLoS One; 2013; 8(5):e62670. PubMed ID: 23658761
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Dimensionality reduction by UMAP to visualize physical and genetic interactions.
    Dorrity MW; Saunders LM; Queitsch C; Fields S; Trapnell C
    Nat Commun; 2020 Mar; 11(1):1537. PubMed ID: 32210240
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Global map of SUMO function revealed by protein-protein interaction and genetic networks.
    Makhnevych T; Sydorskyy Y; Xin X; Srikumar T; Vizeacoumar FJ; Jeram SM; Li Z; Bahr S; Andrews BJ; Boone C; Raught B
    Mol Cell; 2009 Jan; 33(1):124-35. PubMed ID: 19150434
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Reverse engineering molecular hypergraphs.
    Rahman A; Poirel CL; Badger DJ; Estep C; Murali TM
    IEEE/ACM Trans Comput Biol Bioinform; 2013; 10(5):1113-24. PubMed ID: 24384702
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Not all scale-free networks are born equal: the role of the seed graph in PPI network evolution.
    Hormozdiari F; Berenbrink P; Przulj N; Sahinalp SC
    PLoS Comput Biol; 2007 Jul; 3(7):e118. PubMed ID: 17616981
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Bayesian Orthogonal Least Squares (BOLS) algorithm for reverse engineering of gene regulatory networks.
    Kim CS
    BMC Bioinformatics; 2007 Jul; 8():251. PubMed ID: 17626641
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Pathway redundancy and protein essentiality revealed in the Saccharomyces cerevisiae interaction networks.
    Ulitsky I; Shamir R
    Mol Syst Biol; 2007; 3():104. PubMed ID: 17437029
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Modular organization of protein interaction networks.
    Luo F; Yang Y; Chen CF; Chang R; Zhou J; Scheuermann RH
    Bioinformatics; 2007 Jan; 23(2):207-14. PubMed ID: 17092991
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Constructing and analyzing a large-scale gene-to-gene regulatory network--lasso-constrained inference and biological validation.
    Gustafsson M; Hörnquist M; Lombardi A
    IEEE/ACM Trans Comput Biol Bioinform; 2005; 2(3):254-61. PubMed ID: 17044188
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A global protein-lipid interactome map.
    Brehme M; Vidal M
    Mol Syst Biol; 2010 Nov; 6():443. PubMed ID: 21119635
    [No Abstract]   [Full Text] [Related]  

  • 34. CGI: a new approach for prioritizing genes by combining gene expression and protein-protein interaction data.
    Ma X; Lee H; Wang L; Sun F
    Bioinformatics; 2007 Jan; 23(2):215-21. PubMed ID: 17098772
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Quantitative inference of dynamic regulatory pathways via microarray data.
    Chang WC; Li CW; Chen BS
    BMC Bioinformatics; 2005 Mar; 6():44. PubMed ID: 15748298
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Understanding protein dispensability through machine-learning analysis of high-throughput data.
    Chen Y; Xu D
    Bioinformatics; 2005 Mar; 21(5):575-81. PubMed ID: 15479713
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Inferring transcriptional compensation interactions in yeast via stepwise structure equation modeling.
    Shieh GS; Chen CM; Yu CY; Huang J; Wang WF; Lo YC
    BMC Bioinformatics; 2008 Mar; 9():134. PubMed ID: 18312694
    [TBL] [Abstract][Full Text] [Related]  

  • 38. YETI: Yeast Exploration Tool Integrator.
    Orton RJ; Sellers WI; Gerloff DL
    Bioinformatics; 2004 Jan; 20(2):284-5. PubMed ID: 14734325
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Detecting functional modules in the yeast protein-protein interaction network.
    Chen J; Yuan B
    Bioinformatics; 2006 Sep; 22(18):2283-90. PubMed ID: 16837529
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Investigating the Network Basis of Negative Genetic Interactions in Saccharomyces cerevisiae with Integrated Biological Networks and Triplet Motif Analysis.
    Ignatius Pang CN; Goel A; Wilkins MR
    J Proteome Res; 2018 Mar; 17(3):1014-1030. PubMed ID: 29392949
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 25.