BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

115 related articles for article (PubMed ID: 14976028)

  • 1. Analysing microarray data using modular regulation analysis.
    Curtis RK; Brand MD
    Bioinformatics; 2004 May; 20(8):1272-84. PubMed ID: 14976028
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A new clustering method for microarray data analysis.
    Zhang L; Zhu S
    Proc IEEE Comput Soc Bioinform Conf; 2002; 1():268-75. PubMed ID: 15838143
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Diametrical clustering for identifying anti-correlated gene clusters.
    Dhillon IS; Marcotte EM; Roshan U
    Bioinformatics; 2003 Sep; 19(13):1612-9. PubMed ID: 12967956
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Global mRNA changes in microarray experiments.
    Hannah MA; Redestig H; Leisse A; Willmitzer L
    Nat Biotechnol; 2008 Jul; 26(7):741-2. PubMed ID: 18612292
    [No Abstract]   [Full Text] [Related]  

  • 5. Control analysis of DNA microarray expression data.
    Curtis RK; Brand MD
    Mol Biol Rep; 2002; 29(1-2):67-71. PubMed ID: 12241077
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CLICK and EXPANDER: a system for clustering and visualizing gene expression data.
    Sharan R; Maron-Katz A; Shamir R
    Bioinformatics; 2003 Sep; 19(14):1787-99. PubMed ID: 14512350
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Computational selection of distinct class- and subclass-specific gene expression signatures.
    Bushel PR; Hamadeh HK; Bennett L; Green J; Ableson A; Misener S; Afshari CA; Paules RS
    J Biomed Inform; 2002 Jun; 35(3):160-70. PubMed ID: 12669979
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Complementary techniques of clustering and composite pattern analysis to Saccharomyces cerevisiae gene expression.
    Magusin A
    Appl Bioinformatics; 2003; 2(3 Suppl):S37-46. PubMed ID: 15130815
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparisons and validation of statistical clustering techniques for microarray gene expression data.
    Datta S; Datta S
    Bioinformatics; 2003 Mar; 19(4):459-66. PubMed ID: 12611800
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Rank order metrics for quantifying the association of sequence features with gene regulation.
    Clarke ND; Granek JA
    Bioinformatics; 2003 Jan; 19(2):212-8. PubMed ID: 12538241
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Background rareness-based iterative multiple sequence alignment algorithm for regulatory element detection.
    Narasimhan C; LoCascio P; Uberbacher E
    Bioinformatics; 2003 Oct; 19(15):1952-63. PubMed ID: 14555629
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification and quantification of disease-related gene clusters.
    Firneisz G; Zehavi I; Vermes C; Hanyecz A; Frieman JA; Glant TT
    Bioinformatics; 2003 Sep; 19(14):1781-6. PubMed ID: 14512349
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An associative analysis of gene expression array data.
    Dozmorov I; Centola M
    Bioinformatics; 2003 Jan; 19(2):204-11. PubMed ID: 12538240
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Venn Mapping: clustering of heterologous microarray data based on the number of co-occurring differentially expressed genes.
    Smid M; Dorssers LC; Jenster G
    Bioinformatics; 2003 Nov; 19(16):2065-71. PubMed ID: 14594711
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detecting clusters of different geometrical shapes in microarray gene expression data.
    Kim DW; Lee KH; Lee D
    Bioinformatics; 2005 May; 21(9):1927-34. PubMed ID: 15647300
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correcting the loss of cell-cycle synchrony in clustering analysis of microarray data using weights.
    Duan F; Zhang H
    Bioinformatics; 2004 Jul; 20(11):1766-71. PubMed ID: 15166015
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identifying time-lagged gene clusters using gene expression data.
    Ji L; Tan KL
    Bioinformatics; 2005 Feb; 21(4):509-16. PubMed ID: 15374868
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clustering of gene expression data using a local shape-based similarity measure.
    Balasubramaniyan R; Hüllermeier E; Weskamp N; Kämper J
    Bioinformatics; 2005 Apr; 21(7):1069-77. PubMed ID: 15513997
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Methods for assessing reproducibility of clustering patterns observed in analyses of microarray data.
    McShane LM; Radmacher MD; Freidlin B; Yu R; Li MC; Simon R
    Bioinformatics; 2002 Nov; 18(11):1462-9. PubMed ID: 12424117
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Clustering of diverse genomic data using information fusion.
    Kasturi J; Acharya R
    Bioinformatics; 2005 Feb; 21(4):423-9. PubMed ID: 15608052
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.