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Connection

Galina Glazko to Gene Expression Profiling

This is a "connection" page, showing publications Galina Glazko has written about Gene Expression Profiling.

 
Connection Strength
 
 
 
1.955
 
  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: 0.404
  2. Rahmatallah Y, Emmert-Streib F, Glazko G. Comparative evaluation of gene set analysis approaches for RNA-Seq data. BMC Bioinformatics. 2014 Dec 05; 15:397.
    View in: PubMed
    Score: 0.348
  3. Rahmatallah Y, Emmert-Streib F, Glazko G. Gene Sets Net Correlations Analysis (GSNCA): a multivariate differential coexpression test for gene sets. Bioinformatics. 2014 Feb 01; 30(3):360-8.
    View in: PubMed
    Score: 0.325
  4. 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: 0.239
  5. 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: 0.110
  6. 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: 0.101
  7. Rahmatallah Y, Emmert-Streib F, Glazko G. Gene set analysis approaches for RNA-seq data: performance evaluation and application guideline. Brief Bioinform. 2016 05; 17(3):393-407.
    View in: PubMed
    Score: 0.092
  8. Stupnikov A, Glazko GV, Emmert-Streib F. Effects of subsampling on characteristics of RNA-seq data from triple-negative breast cancer patients. Chin J Cancer. 2015 Aug 08; 34(10):427-38.
    View in: PubMed
    Score: 0.091
  9. Tripathi S, Glazko GV, Emmert-Streib F. Ensuring the statistical soundness of competitive gene set approaches: gene filtering and genome-scale coverage are essential. Nucleic Acids Res. 2013 Apr; 41(7):e82.
    View in: PubMed
    Score: 0.077
  10. 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: 0.058
  11. Manjang K, Tripathi S, Yli-Harja O, Dehmer M, Glazko G, Emmert-Streib F. Prognostic gene expression signatures of breast cancer are lacking a sensible biological meaning. Sci Rep. 2021 01 08; 11(1):156.
    View in: PubMed
    Score: 0.033
  12. Thomas J, Kim HR, Rahmatallah Y, Wiggins G, Yang Q, Singh R, Glazko G, Mukherjee A. RNA-seq reveals differentially expressed genes in rice (Oryza sativa) roots during interactions with plant-growth promoting bacteria, Azospirillum brasilense. PLoS One. 2019; 14(5):e0217309.
    View in: PubMed
    Score: 0.030
  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: 0.021
  14. Hanin L, Awadalla SS, Cox P, Glazko G, Yakovlev A. Chromosome-specific spatial periodicities in gene expression revealed by spectral analysis. J Theor Biol. 2009 Feb 07; 256(3):333-42.
    View in: PubMed
    Score: 0.014
  15. 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: 0.013
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.