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Connection

Galina Glazko to Computational Biology

This is a "connection" page, showing publications Galina Glazko has written about Computational Biology.

 
Connection Strength
 
 
 
2.807
 
  1. Rahmatallah Y, Zybailov B, Emmert-Streib F, Glazko G. GSAR: Bioconductor package for Gene Set analysis in R. BMC Bioinformatics. 2017 Jan 24; 18(1):61.
    View in: PubMed
    Score: 0.502
  2. Glazko G, Rahmatallah Y, Zybailov B, Emmert-Streib F. Extracting the Strongest Signals from Omics Data: Differentially Expressed Pathways and Beyond. Methods Mol Biol. 2017; 1613:125-159.
    View in: PubMed
    Score: 0.500
  3. Glazko GV, Zybailov BL, Rogozin IB. Computational prediction of polycomb-associated long non-coding RNAs. PLoS One. 2012; 7(9):e44878.
    View in: PubMed
    Score: 0.371
  4. Hu R, Qiu X, Glazko G. A new gene selection procedure based on the covariance distance. Bioinformatics. 2010 Feb 01; 26(3):348-54.
    View in: PubMed
    Score: 0.306
  5. Glazko GV, Emmert-Streib F. Unite and conquer: univariate and multivariate approaches for finding differentially expressed gene sets. Bioinformatics. 2009 Sep 15; 25(18):2348-54.
    View in: PubMed
    Score: 0.297
  6. Glazko GV, Mushegian AR. Detection of evolutionarily stable fragments of cellular pathways by hierarchical clustering of phyletic patterns. Genome Biol. 2004; 5(5):R32.
    View in: PubMed
    Score: 0.208
  7. Glazko GV, Koonin EV, Rogozin IB, Shabalina SA. A significant fraction of conserved noncoding DNA in human and mouse consists of predicted matrix attachment regions. Trends Genet. 2003 Mar; 19(3):119-24.
    View in: PubMed
    Score: 0.192
  8. Musa A, Ghoraie LS, Zhang SD, Glazko G, Yli-Harja O, Dehmer M, Haibe-Kains B, Emmert-Streib F. A review of connectivity map and computational approaches in pharmacogenomics. Brief Bioinform. 2018 05 01; 19(3):506-523.
    View in: PubMed
    Score: 0.137
  9. Hu R, Qiu X, Glazko G, Klebanov L, Yakovlev A. Detecting intergene correlation changes in microarray analysis: a new approach to gene selection. BMC Bioinformatics. 2009 Jan 15; 10:20.
    View in: PubMed
    Score: 0.072
  10. Koonin EV, Rogozin IB, Glazko GV. p53 gain-of-function: tumor biology and bioinformatics come together. Cell Cycle. 2005 May; 4(5):686-8.
    View in: PubMed
    Score: 0.056
  11. Rogozin IB, Glazko GV, Glazkov MV. Computer prediction of sites associated with various elements of the nuclear matrix. Brief Bioinform. 2000 Feb; 1(1):33-44.
    View in: PubMed
    Score: 0.039
  12. Smolander J, Stupnikov A, Glazko G, Dehmer M, Emmert-Streib F. Comparing biological information contained in mRNA and non-coding RNAs for classification of lung cancer patients. BMC Cancer. 2019 Dec 03; 19(1):1176.
    View in: PubMed
    Score: 0.038
  13. Emmert-Streib F, de Matos Simoes R, Glazko G, McDade S, Haibe-Kains B, Holzinger A, Dehmer M, Campbell F. Functional and genetic analysis of the colon cancer network. BMC Bioinformatics. 2014; 15 Suppl 6:S6.
    View in: PubMed
    Score: 0.026
  14. Smolock EM, Korshunov VA, Glazko G, Qiu X, Gerloff J, Berk BC. Ribosomal protein L17, RpL17, is an inhibitor of vascular smooth muscle growth and carotid intima formation. Circulation. 2012 Nov 13; 126(20):2418-27.
    View in: PubMed
    Score: 0.023
  15. Emmert-Streib F, de Matos Simoes R, Tripathi S, Glazko GV, Dehmer M. A Bayesian analysis of the chromosome architecture of human disorders by integrating reductionist data. Sci Rep. 2012; 2:513.
    View in: PubMed
    Score: 0.023
  16. Klebanov L, Glazko G, Salzman P, Yakovlev A, Xiao Y. A multivariate extension of the gene set enrichment analysis. J Bioinform Comput Biol. 2007 Oct; 5(5):1139-53.
    View in: PubMed
    Score: 0.016
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.