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 *

101 related articles for article (PubMed ID: 20649954)

  • 1. Robust test method for time-course microarray experiments.
    Sohn I; Owzar K; George SL; Kim S; Jung SH
    BMC Bioinformatics; 2010 Jul; 11():391. PubMed ID: 20649954
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Quadratic regression analysis for gene discovery and pattern recognition for non-cyclic short time-course microarray experiments.
    Liu H; Tarima S; Borders AS; Getchell TV; Getchell ML; Stromberg AJ
    BMC Bioinformatics; 2005 Apr; 6():106. PubMed ID: 15850479
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Information criterion-based clustering with order-restricted candidate profiles in short time-course microarray experiments.
    Liu T; Lin N; Shi N; Zhang B
    BMC Bioinformatics; 2009 May; 10():146. PubMed ID: 19445669
    [TBL] [Abstract][Full Text] [Related]  

  • 4. maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments.
    Conesa A; Nueda MJ; Ferrer A; Talón M
    Bioinformatics; 2006 May; 22(9):1096-102. PubMed ID: 16481333
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A permutation-based multiple testing method for time-course microarray experiments.
    Sohn I; Owzar K; George SL; Kim S; Jung SH
    BMC Bioinformatics; 2009 Oct; 10():336. PubMed ID: 19832992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Differential and trajectory methods for time course gene expression data.
    Liang Y; Tayo B; Cai X; Kelemen A
    Bioinformatics; 2005 Jul; 21(13):3009-16. PubMed ID: 15886280
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Rank-based clustering analysis for the time-course microarray data.
    Yi SG; Joo YJ; Park T
    J Bioinform Comput Biol; 2009 Feb; 7(1):75-91. PubMed ID: 19226661
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Gene selection and clustering for time-course and dose-response microarray experiments using order-restricted inference.
    Peddada SD; Lobenhofer EK; Li L; Afshari CA; Weinberg CR; Umbach DM
    Bioinformatics; 2003 May; 19(7):834-41. PubMed ID: 12724293
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Correspondence analysis of microarray time-course data in case-control design.
    Tan Q; Brusgaard K; Kruse TA; Oakeley E; Hemmings B; Beck-Nielsen H; Hansen L; Gaster M
    J Biomed Inform; 2004 Oct; 37(5):358-65. PubMed ID: 15488749
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Parallel multiplicity and error discovery rate (EDR) in microarray experiments.
    Xu WW; Carter CJ
    BMC Bioinformatics; 2010 Sep; 11():465. PubMed ID: 20846437
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identifying differentially expressed genes in time-course microarray experiment without replicate.
    Han X; Sung WK; Feng L
    J Bioinform Comput Biol; 2007 Apr; 5(2a):281-96. PubMed ID: 17589962
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of gene expression patterns using planned linear contrasts.
    Li H; Wood CL; Liu Y; Getchell TV; Getchell ML; Stromberg AJ
    BMC Bioinformatics; 2006 May; 7():245. PubMed ID: 16677382
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Generalized Correlation Coefficient for Non-Parametric Analysis of Microarray Time-Course Data.
    Tan Q; Thomassen M; Burton M; Mose KF; Andersen KE; Hjelmborg J; Kruse T
    J Integr Bioinform; 2017 Jun; 14(2):. PubMed ID: 28753536
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model.
    Sásik R; Calvo E; Corbeil J
    Bioinformatics; 2002 Dec; 18(12):1633-40. PubMed ID: 12490448
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Statistical tests for identifying differentially expressed genes in time-course microarray experiments.
    Park T; Yi SG; Lee S; Lee SY; Yoo DH; Ahn JI; Lee YS
    Bioinformatics; 2003 Apr; 19(6):694-703. PubMed ID: 12691981
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo.
    Qi Y; Missiuro PE; Kapoor A; Hunter CP; Jaakkola TS; Gifford DK; Ge H
    Bioinformatics; 2006 Jul; 22(14):e417-23. PubMed ID: 16873502
    [TBL] [Abstract][Full Text] [Related]  

  • 17. M-quantile regression analysis of temporal gene expression data.
    Vinciotti V; Yu K
    Stat Appl Genet Mol Biol; 2009; 8():Article 41. PubMed ID: 19799560
    [TBL] [Abstract][Full Text] [Related]  

  • 18. ARSyN: a method for the identification and removal of systematic noise in multifactorial time course microarray experiments.
    Nueda MJ; Ferrer A; Conesa A
    Biostatistics; 2012 Jul; 13(3):553-66. PubMed ID: 22085896
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modified nonparametric approaches to detecting differentially expressed genes in replicated microarray experiments.
    Zhao Y; Pan W
    Bioinformatics; 2003 Jun; 19(9):1046-54. PubMed ID: 12801864
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Creating gene set activity profiles with time-series expression data.
    Knijnenburg TA; Wessels LF; Reinders MJ
    Int J Bioinform Res Appl; 2008; 4(3):306-23. PubMed ID: 18640906
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.