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Volumn 95, Issue , 2013, Pages 55-65

An effect size filter improves the reproducibility in spectral counting-based comparative proteomics

Author keywords

EdgeR; Effect size; Feature filters; Poisson; QSpec; Quasi likelihood

Indexed keywords

PROTEIN;

EID: 84888289455     PISSN: 18743919     EISSN: 18767737     Source Type: Journal    
DOI: 10.1016/j.jprot.2013.05.030     Document Type: Article
Times cited : (17)

References (17)
  • 1
    • 7444234286 scopus 로고    scopus 로고
    • Getting the noise out of gene arrays
    • Marshall E. Getting the noise out of gene arrays. Science 2004, 306:630-631.
    • (2004) Science , vol.306 , pp. 630-631
    • Marshall, E.1
  • 2
    • 33645825183 scopus 로고    scopus 로고
    • Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer
    • Ein-Dor L., Zuk O., Domany E. Thousands of samples are needed to generate a robust gene list for predicting outcome in cancer. Proc Natl Acad Sci U S A 2006, 103:5923-5928.
    • (2006) Proc Natl Acad Sci U S A , vol.103 , pp. 5923-5928
    • Ein-Dor, L.1    Zuk, O.2    Domany, E.3
  • 3
    • 78650735473 scopus 로고    scopus 로고
    • MAQC Consortium The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models
    • Shi L., Campbell G., Jones W.D., Campagne F., Wen Z., Walker S.J., et al. MAQC Consortium The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol 2010, 28:827-838.
    • (2010) Nat Biotechnol , vol.28 , pp. 827-838
    • Shi, L.1    Campbell, G.2    Jones, W.D.3    Campagne, F.4    Wen, Z.5    Walker, S.J.6
  • 4
    • 49649083648 scopus 로고    scopus 로고
    • The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies
    • Shi L., Jones W.D., Jensen R.V., Harris S.C., Perkins R.G., Goodsaid F.M., et al. The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies. BMC Bioinformatics 2008, 9(Suppl. 9):S10.
    • (2008) BMC Bioinformatics , vol.9 , Issue.SUPPL. 9
    • Shi, L.1    Jones, W.D.2    Jensen, R.V.3    Harris, S.C.4    Perkins, R.G.5    Goodsaid, F.M.6
  • 5
    • 77955131271 scopus 로고    scopus 로고
    • A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data
    • Luo J., Schumacher M., Scherer A., Sanoudou D., Megherbi D., Davison T., et al. A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data. Pharmacogenomics J 2010, 10:278-291.
    • (2010) Pharmacogenomics J , vol.10 , pp. 278-291
    • Luo, J.1    Schumacher, M.2    Scherer, A.3    Sanoudou, D.4    Megherbi, D.5    Davison, T.6
  • 6
    • 84862686698 scopus 로고    scopus 로고
    • Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics
    • Gregori J., Villarreal L., Méndez O., Sanchez A., Baselga J., Villanueva J. Batch effects correction improves the sensitivity of significance tests in spectral counting-based comparative discovery proteomics. J Proteomics 2012, 1-14.
    • (2012) J Proteomics , pp. 1-14
    • Gregori, J.1    Villarreal, L.2    Méndez, O.3    Sanchez, A.4    Baselga, J.5    Villanueva, J.6
  • 7
    • 18844447998 scopus 로고    scopus 로고
    • Statistical development and evaluation of microarray gene expression data filters
    • Pounds S., Cheng C. Statistical development and evaluation of microarray gene expression data filters. J Comput Biol 2005, 12:482-495.
    • (2005) J Comput Biol , vol.12 , pp. 482-495
    • Pounds, S.1    Cheng, C.2
  • 8
    • 77953095629 scopus 로고    scopus 로고
    • Independent filtering increases detection power for high-throughput experiments
    • Bourgon R., Gentleman R., Huber W. Independent filtering increases detection power for high-throughput experiments. Proc Natl Acad Sci 2010, 107:9546-9551.
    • (2010) Proc Natl Acad Sci , vol.107 , pp. 9546-9551
    • Bourgon, R.1    Gentleman, R.2    Huber, W.3
  • 10
    • 58149299336 scopus 로고    scopus 로고
    • Significance analysis of spectral count data in label-free shotgun proteomics
    • Choi H., Fermin D., Nesvizhskii A.I. Significance analysis of spectral count data in label-free shotgun proteomics. Mol Cell Proteomics 2008, 7:2373-2385.
    • (2008) Mol Cell Proteomics , vol.7 , pp. 2373-2385
    • Choi, H.1    Fermin, D.2    Nesvizhskii, A.I.3
  • 12
    • 77955458799 scopus 로고    scopus 로고
    • Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling
    • Li M., Gray W., Zhang H., Chung C.H., Billheimer D., Yarbrough W.G., et al. Comparative shotgun proteomics using spectral count data and quasi-likelihood modeling. J Proteome Res 2010, 9:4295-4305.
    • (2010) J Proteome Res , vol.9 , pp. 4295-4305
    • Li, M.1    Gray, W.2    Zhang, H.3    Chung, C.H.4    Billheimer, D.5    Yarbrough, W.G.6
  • 13
    • 75249087100 scopus 로고    scopus 로고
    • EdgeR: a Bioconductor package for differential expression analysis of digital gene expression data
    • Robinson M.D., McCarthy D.J., Smyth G.K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 2010, 26:139-140.
    • (2010) Bioinformatics , vol.26 , pp. 139-140
    • Robinson, M.D.1    McCarthy, D.J.2    Smyth, G.K.3
  • 14
    • 0037108887 scopus 로고    scopus 로고
    • Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search
    • Keller A., Nesvizhskii A.I., Kolker E., Aebersold R. Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search. Anal Chem 2002, 74:5383-5392.
    • (2002) Anal Chem , vol.74 , pp. 5383-5392
    • Keller, A.1    Nesvizhskii, A.I.2    Kolker, E.3    Aebersold, R.4
  • 16
    • 0001677717 scopus 로고
    • Controlling the false discovery rate-a practical and powerful approach to multiple testing
    • Benjamini Y., Hochberg Y. Controlling the false discovery rate-a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol 1995, 57:289-300.
    • (1995) J R Stat Soc Ser B Methodol , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 17
    • 58349085083 scopus 로고    scopus 로고
    • Receiver-operating characteristic curve analysis in diagnostic, prognostic and predictive biomarker research
    • Søreide K. Receiver-operating characteristic curve analysis in diagnostic, prognostic and predictive biomarker research. J Clin Pathol 2009, 62:1-5.
    • (2009) J Clin Pathol , vol.62 , pp. 1-5
    • Søreide, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.