BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

247 related articles for article (PubMed ID: 25983554)

  • 1. Reverse enGENEering of Regulatory Networks from Big Data: A Roadmap for Biologists.
    Dong X; Yambartsev A; Ramsey SA; Thomas LD; Shulzhenko N; Morgun A
    Bioinform Biol Insights; 2015; 9():61-74. PubMed ID: 25983554
    [TBL] [Abstract][Full Text] [Related]  

  • 2. New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data.
    Gogoshin G; Boerwinkle E; Rodin AS
    J Comput Biol; 2017 Apr; 24(4):340-356. PubMed ID: 27681505
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data.
    Kedaigle AJ; Fraenkel E
    Methods Mol Biol; 2018; 1711():13-26. PubMed ID: 29344883
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer.
    Sompairac N; Modamio J; Barillot E; Fleming RMT; Zinovyev A; Kuperstein I
    BMC Bioinformatics; 2019 Apr; 20(Suppl 4):140. PubMed ID: 30999838
    [TBL] [Abstract][Full Text] [Related]  

  • 5. VANTED: A Tool for Integrative Visualization and Analysis of -Omics Data.
    Hartmann A; Jozefowicz AM
    Methods Mol Biol; 2018; 1696():261-278. PubMed ID: 29086410
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrative Analysis of Omics Big Data.
    Yu XT; Zeng T
    Methods Mol Biol; 2018; 1754():109-135. PubMed ID: 29536440
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE).
    Ma T; Zhang A
    BMC Genomics; 2019 Dec; 20(Suppl 11):944. PubMed ID: 31856727
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Network topology measures for identifying disease-gene association in breast cancer.
    Ramadan E; Alinsaif S; Hassan MR
    BMC Bioinformatics; 2016 Jul; 17 Suppl 7(Suppl 7):274. PubMed ID: 27454166
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Cell biologists expand their networks.
    Short B
    J Cell Biol; 2009 Aug; 186(3):305-11. PubMed ID: 19667124
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Big data in yeast systems biology.
    Yu R; Nielsen J
    FEMS Yeast Res; 2019 Nov; 19(7):. PubMed ID: 31603503
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cancer omics: from regulatory networks to clinical outcomes.
    Tang B; Hsu PY; Huang TH; Jin VX
    Cancer Lett; 2013 Nov; 340(2):277-83. PubMed ID: 23201140
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The Pathway Tools cellular overview diagram and Omics Viewer.
    Paley SM; Karp PD
    Nucleic Acids Res; 2006; 34(13):3771-8. PubMed ID: 16893960
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integration of multi-omics data for integrative gene regulatory network inference.
    Zarayeneh N; Ko E; Oh JH; Suh S; Liu C; Gao J; Kim D; Kang M
    Int J Data Min Bioinform; 2017; 18(3):223-239. PubMed ID: 29354189
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Reverse engineering highlights potential principles of large gene regulatory network design and learning.
    Carré C; Mas A; Krouk G
    NPJ Syst Biol Appl; 2017; 3():17. PubMed ID: 28649444
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Constructing an integrated genetic and epigenetic cellular network for whole cellular mechanism using high-throughput next-generation sequencing data.
    Chen BS; Li CW
    BMC Syst Biol; 2016 Feb; 10():18. PubMed ID: 26897165
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Visualizing omics and clinical data: Which challenges for dealing with their variety?
    Mougin F; Auber D; Bourqui R; Diallo G; Dutour I; Jouhet V; Thiessard F; Thiébaut R; Thébault P
    Methods; 2018 Jan; 132():3-18. PubMed ID: 28887085
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A practical data processing workflow for multi-OMICS projects.
    Kohl M; Megger DA; Trippler M; Meckel H; Ahrens M; Bracht T; Weber F; Hoffmann AC; Baba HA; Sitek B; Schlaak JF; Meyer HE; Stephan C; Eisenacher M
    Biochim Biophys Acta; 2014 Jan; 1844(1 Pt A):52-62. PubMed ID: 23501674
    [TBL] [Abstract][Full Text] [Related]  

  • 18. petal: Co-expression network modelling in R.
    Petereit J; Smith S; Harris FC; Schlauch KA
    BMC Syst Biol; 2016 Aug; 10 Suppl 2(Suppl 2):51. PubMed ID: 27490697
    [TBL] [Abstract][Full Text] [Related]  

  • 19. xMWAS: a data-driven integration and differential network analysis tool.
    Uppal K; Ma C; Go YM; Jones DP; Wren J
    Bioinformatics; 2018 Feb; 34(4):701-702. PubMed ID: 29069296
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Transkingdom Networks: A Systems Biology Approach to Identify Causal Members of Host-Microbiota Interactions.
    Rodrigues RR; Shulzhenko N; Morgun A
    Methods Mol Biol; 2018; 1849():227-242. PubMed ID: 30298258
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.