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Selecting Differentially Expressed Genes from Microarray Experiments

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  • Margaret Sullivan Pepe
  • Gary Longton
  • Garnet L. Anderson
  • Michel Schummer

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  • Margaret Sullivan Pepe & Gary Longton & Garnet L. Anderson & Michel Schummer, 2003. "Selecting Differentially Expressed Genes from Microarray Experiments," Biometrics, The International Biometric Society, vol. 59(1), pages 133-142, March.
    • Handle: RePEc:bla:biomet:v:59:y:2003:i:1:p:133-142
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    File URL: http://hdl.handle.net/10.1111/1541-0420.00016
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    Cited by:

    1. Ahmed Hossain & Hafiz T.A. Khan, 2016. "Identification of genomic markers correlated with sensitivity in solid tumors to Dasatinib using sparse principal components," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(14), pages 2538-2549, October.
    2. Mark A. van de Wiel & Kyung In Kim, 2007. "Estimating the False Discovery Rate Using Nonparametric Deconvolution," Biometrics, The International Biometric Society, vol. 63(3), pages 806-815, September.
    3. Li-Xuan Qin & Steven G. Self, 2006. "The Clustering of Regression Models Method with Applications in Gene Expression Data," Biometrics, The International Biometric Society, vol. 62(2), pages 526-533, June.
    4. Pascale Leroy & Andrea Tham & Hofer Wong & Rachel Tenney & Chun Chen & Rachel Stiner & John R Balmes & Agnès C Paquet & Mehrdad Arjomandi, 2015. "Inflammatory and Repair Pathways Induced in Human Bronchoalveolar Lavage Cells with Ozone Inhalation," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-28, June.
    5. Juana-María Vivo & Manuel Franco & Donatella Vicari, 2018. "Rethinking an ROC partial area index for evaluating the classification performance at a high specificity range," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 683-704, September.
    6. Hossain Ahmed & Beyene Joseph, 2013. "Estimation of weighted log partial area under the ROC curve and its application to MicroRNA expression data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 12(6), pages 743-755, December.
    7. Yu, Wenbao & Park, Taesung, 2015. "Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 15-27.
    8. Jialiang Li & Jason P. Fine, 2010. "Weighted area under the receiver operating characteristic curve and its application to gene selection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(4), pages 673-692, August.
    9. Manuel Franco & Juana-María Vivo, 2021. "Evaluating the Performances of Biomarkers over a Restricted Domain of High Sensitivity," Mathematics, MDPI, vol. 9(21), pages 1-20, November.
    10. Yingye Zheng & Margaret Pepe, 2004. "Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array," UW Biostatistics Working Paper Series 1055, Berkeley Electronic Press.
    11. Ahmed Hossain & Joseph Beyene, 2015. "Application of skew-normal distribution for detecting differential expression to microRNA data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(3), pages 477-491, March.
    12. Gong Chen & Qing Zhou, 2010. "Heterogeneity in DNA Multiple Alignments: Modeling, Inference, and Applications in Motif Finding," Biometrics, The International Biometric Society, vol. 66(3), pages 694-704, September.
    13. Xiang, Qinfang & Edwards, Jode & Gadbury, Gary L., 2006. "Interval estimation in a finite mixture model: Modeling P-values in multiple testing applications," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 570-586, November.
    14. Osamu Komori, 2011. "A boosting method for maximization of the area under the ROC curve," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 63(5), pages 961-979, October.
    15. Debashis Ghosh & Arul Chinnaiyan, 2004. "Covariate adjustment in the analysis of microarray data from clinical studies," The University of Michigan Department of Biostatistics Working Paper Series 1030, Berkeley Electronic Press.
    16. Man-Jen Hsu & Huey-Miin Hsueh, 2013. "The linear combinations of biomarkers which maximize the partial area under the ROC curves," Computational Statistics, Springer, vol. 28(2), pages 647-666, April.
    17. Shigeyuki Matsui & Shu Zeng & Takeharu Yamanaka & John Shaughnessy, 2008. "Sample Size Calculations Based on Ranking and Selection in Microarray Experiments," Biometrics, The International Biometric Society, vol. 64(1), pages 217-226, March.
    18. Bickel David R., 2008. "Correcting the Estimated Level of Differential Expression for Gene Selection Bias: Application to a Microarray Study," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-27, March.

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