BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 18172259)

  • 1. How large a training set is needed to develop a classifier for microarray data?
    Dobbin KK; Zhao Y; Simon RM
    Clin Cancer Res; 2008 Jan; 14(1):108-14. PubMed ID: 18172259
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Sample size planning for developing classifiers using high-dimensional DNA microarray data.
    Dobbin KK; Simon RM
    Biostatistics; 2007 Jan; 8(1):101-17. PubMed ID: 16613833
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Mistakes in validating the accuracy of a prediction classifier in high-dimensional but small-sample microarray data.
    Lee S
    Stat Methods Med Res; 2008 Dec; 17(6):635-42. PubMed ID: 18375459
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Design of studies using DNA microarrays.
    Simon R; Radmacher MD; Dobbin K
    Genet Epidemiol; 2002 Jun; 23(1):21-36. PubMed ID: 12112246
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Sample size determination in microarray experiments for class comparison and prognostic classification.
    Dobbin K; Simon R
    Biostatistics; 2005 Jan; 6(1):27-38. PubMed ID: 15618525
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An expression-based site of origin diagnostic method designed for clinical application to cancer of unknown origin.
    Tothill RW; Kowalczyk A; Rischin D; Bousioutas A; Haviv I; van Laar RK; Waring PM; Zalcberg J; Ward R; Biankin AV; Sutherland RL; Henshall SM; Fong K; Pollack JR; Bowtell DD; Holloway AJ
    Cancer Res; 2005 May; 65(10):4031-40. PubMed ID: 15899792
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Microarray experimental design: power and sample size considerations.
    Yang MC; Yang JJ; McIndoe RA; She JX
    Physiol Genomics; 2003 Dec; 16(1):24-8. PubMed ID: 14532333
    [TBL] [Abstract][Full Text] [Related]  

  • 8. f-Information measures for efficient selection of discriminative genes from microarray data.
    Maji P
    IEEE Trans Biomed Eng; 2009 Apr; 56(4):1063-9. PubMed ID: 19272938
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A new method for class prediction based on signed-rank algorithms applied to Affymetrix microarray experiments.
    Rème T; Hose D; De Vos J; Vassal A; Poulain PO; Pantesco V; Goldschmidt H; Klein B
    BMC Bioinformatics; 2008 Jan; 9():16. PubMed ID: 18190711
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Molecular diagnostic methods designed for clinical approach to cancer of unknown origin].
    Fujita Y; Nishio K
    Gan To Kagaku Ryoho; 2009 Jun; 36(6):923-6. PubMed ID: 19542713
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sample sizes for a robust ranking and selection of genes in microarray experiments.
    Matsui S; Oura T
    Stat Med; 2009 Sep; 28(22):2801-16. PubMed ID: 19610132
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Appropriateness of some resampling-based inference procedures for assessing performance of prognostic classifiers derived from microarray data.
    Lusa L; McShane LM; Radmacher MD; Shih JH; Wright GW; Simon R
    Stat Med; 2007 Feb; 26(5):1102-13. PubMed ID: 16755534
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An immune response enriched 72-gene prognostic profile for early-stage non-small-cell lung cancer.
    Roepman P; Jassem J; Smit EF; Muley T; Niklinski J; van de Velde T; Witteveen AT; Rzyman W; Floore A; Burgers S; Giaccone G; Meister M; Dienemann H; Skrzypski M; Kozlowski M; Mooi WJ; van Zandwijk N
    Clin Cancer Res; 2009 Jan; 15(1):284-90. PubMed ID: 19118056
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Tumor classification ranking from microarray data.
    Hewett R; Kijsanayothin P
    BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S21. PubMed ID: 18831787
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Microarray analysis of ethanol-induced changes in gene expression.
    Kerns RT; Miles MF
    Methods Mol Biol; 2008; 447():395-410. PubMed ID: 18369932
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Microarrays--planning your experiment.
    Yang JY
    Methods Mol Med; 2008; 141():71-85. PubMed ID: 18453085
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sample size calculation with dependence adjustment for FDR-control in microarray studies.
    Shao Y; Tseng CH
    Stat Med; 2007 Oct; 26(23):4219-37. PubMed ID: 17328091
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Variable selection using probability density function similarity for support vector machine classification of high-dimensional microarray data.
    Tang LJ; Jiang JH; Wu HL; Shen GL; Yu RQ
    Talanta; 2009 Jul; 79(2):260-7. PubMed ID: 19559875
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gene expression profiling in uveal melanoma: two regions on 3p related to prognosis.
    van Gils W; Lodder EM; Mensink HW; Kiliç E; Naus NC; Brüggenwirth HT; van Ijcken W; Paridaens D; Luyten GP; de Klein A
    Invest Ophthalmol Vis Sci; 2008 Oct; 49(10):4254-62. PubMed ID: 18552379
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.
    Anand A; Suganthan PN
    J Theor Biol; 2009 Aug; 259(3):533-40. PubMed ID: 19406131
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.