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 *

109 related articles for article (PubMed ID: 18427588)

  • 1. Normalization benefits microarray-based classification.
    Hua J; Balagurunathan Y; Chen Y; Lowey J; Bittner ML; Xiong Z; Suh E; Dougherty ER
    EURASIP J Bioinform Syst Biol; 2006; 2006(1):43056. PubMed ID: 18427588
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of normalization methods for cDNA microarray data by k-NN classification.
    Wu W; Xing EP; Myers C; Mian IS; Bissell MJ
    BMC Bioinformatics; 2005 Jul; 6():191. PubMed ID: 16045803
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimal number of features as a function of sample size for various classification rules.
    Hua J; Xiong Z; Lowey J; Suh E; Dougherty ER
    Bioinformatics; 2005 Apr; 21(8):1509-15. PubMed ID: 15572470
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A new non-linear normalization method for reducing variability in DNA microarray experiments.
    Workman C; Jensen LJ; Jarmer H; Berka R; Gautier L; Nielser HB; Saxild HH; Nielsen C; Brunak S; Knudsen S
    Genome Biol; 2002 Aug; 3(9):research0048. PubMed ID: 12225587
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Using linear mixed models for normalization of cDNA microarrays.
    Haldermans P; Shkedy Z; Van Sanden S; Burzykowski T; Aerts M
    Stat Appl Genet Mol Biol; 2007; 6():Article 19. PubMed ID: 17672821
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Direct Kernel Perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation.
    Fernández-Delgado M; Cernadas E; Barro S; Ribeiro J; Neves J
    Neural Netw; 2014 Feb; 50():60-71. PubMed ID: 24287336
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimized LOWESS normalization parameter selection for DNA microarray data.
    Berger JA; Hautaniemi S; Järvinen AK; Edgren H; Mitra SK; Astola J
    BMC Bioinformatics; 2004 Dec; 5():194. PubMed ID: 15588297
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Using generalized procrustes analysis (GPA) for normalization of cDNA microarray data.
    Xiong H; Zhang D; Martyniuk CJ; Trudeau VL; Xia X
    BMC Bioinformatics; 2008 Jan; 9():25. PubMed ID: 18199333
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Two-stage normalization using background intensities in cDNA microarray data.
    Yoon D; Yi SG; Kim JH; Park T
    BMC Bioinformatics; 2004 Jul; 5():97. PubMed ID: 15268767
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes.
    Oshlack A; Emslie D; Corcoran LM; Smyth GK
    Genome Biol; 2007; 8(1):R2. PubMed ID: 17204140
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Supervised Lowess normalization of comparative genome hybridization data--application to lactococcal strain comparisons.
    van Hijum SA; Baerends RJ; Zomer AL; Karsens HA; Martin-Requena V; Trelles O; Kok J; Kuipers OP
    BMC Bioinformatics; 2008 Feb; 9():93. PubMed ID: 18267014
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Normalization of cDNA microarray data using wavelet regressions.
    Wang J; Ma JZ; Li MD
    Comb Chem High Throughput Screen; 2004 Dec; 7(8):783-91. PubMed ID: 15578940
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MLSeq: Machine learning interface for RNA-sequencing data.
    Goksuluk D; Zararsiz G; Korkmaz S; Eldem V; Zararsiz GE; Ozcetin E; Ozturk A; Karaagaoglu AE
    Comput Methods Programs Biomed; 2019 Jul; 175():223-231. PubMed ID: 31104710
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A generalized additive model for microarray gene expression data analysis.
    Tsai CA; Hsueh HM; Chen JJ
    J Biopharm Stat; 2004 Aug; 14(3):553-73. PubMed ID: 15468752
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of normalization methods for microarray data.
    Park T; Yi SG; Kang SH; Lee S; Lee YS; Simon R
    BMC Bioinformatics; 2003 Sep; 4():33. PubMed ID: 12950995
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Use of normalization methods for analysis of microarrays containing a high degree of gene effects.
    Ni TT; Lemon WJ; Shyr Y; Zhong TP
    BMC Bioinformatics; 2008 Nov; 9():505. PubMed ID: 19040742
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SED, a normalization free method for DNA microarray data analysis.
    Wang H; Huang H
    BMC Bioinformatics; 2004 Sep; 5():121. PubMed ID: 15345033
    [TBL] [Abstract][Full Text] [Related]  

  • 18. New normalization methods for cDNA microarray data.
    Wilson DL; Buckley MJ; Helliwell CA; Wilson IW
    Bioinformatics; 2003 Jul; 19(11):1325-32. PubMed ID: 12874043
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data.
    Pelz CR; Kulesz-Martin M; Bagby G; Sears RC
    BMC Bioinformatics; 2008 Dec; 9():520. PubMed ID: 19055840
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of boutique arrays: a universal method for the selection of the optimal data normalization procedure.
    Uszczyńska B; Zyprych-Walczak J; Handschuh L; Szabelska A; Kaźmierczak M; Woronowicz W; Kozłowski P; Sikorski MM; Komarnicki M; Siatkowski I; Figlerowicz M
    Int J Mol Med; 2013 Sep; 32(3):668-84. PubMed ID: 23857190
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.