메뉴 건너뛰기




Volumn , Issue SUPPL. 23, 2008, Pages

Data storage and analysis in ArrayExpress and expression profiler

Author keywords

Data analysis; Gene expression; Microarrays; Public repository; Transcriptomics

Indexed keywords

ARRAYEXPRESS; BIOINFORMATICS; CHROMOSOMAL LOCALIZATION; CLUSTER ANALYSIS; COMPUTER INTERFACE; COMPUTER PROGRAM; DATA ANALYSIS; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE IDENTIFICATION; GENETIC DATABASE; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INTERNET; NOMENCLATURE; ONLINE ANALYSIS; PRIORITY JOURNAL; PROBABILITY; REVIEW; TRANSCRIPTOMICS; WEB BROWSER;

EID: 58749115963     PISSN: 19343396     EISSN: 1934340X     Source Type: Journal    
DOI: 10.1002/0471250953.bi0713s23     Document Type: Review
Times cited : (12)

References (28)
  • 3
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: Apractical and powerful approach to multiple testing
    • Benjamini, Y. and Hochberg, Y. 1995. Controlling the false discovery rate: Apractical and powerful approach to multiple testing. J. R. Stat. Soc. B 57:289-300.
    • (1995) J. R. Stat. Soc. B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 4
    • 33645106309 scopus 로고    scopus 로고
    • ChroCoLoc: An application for calculating the probability of co-localization of microarray gene expression
    • Blake, J., Schwager, C., Kapushesky, M., and Brazma, A. 2006. ChroCoLoc: An application for calculating the probability of co-localization of microarray gene expression. Bioinformatics 22:765-767.
    • (2006) Bioinformatics , vol.22 , pp. 765-767
    • Blake, J.1    Schwager, C.2    Kapushesky, M.3    Brazma, A.4
  • 8
    • 20744439107 scopus 로고    scopus 로고
    • MADE4: An R package for multivariate analysis of gene expression data
    • Culhane, A.C., Thioulouse, J., Perriere, G., and Higgins, D.G. 2005. MADE4: An R package for multivariate analysis of gene expression data. Bioinformatics 21:2789-2790.
    • (2005) Bioinformatics , vol.21 , pp. 2789-2790
    • Culhane, A.C.1    Thioulouse, J.2    Perriere, G.3    Higgins, D.G.4
  • 9
    • 0036081355 scopus 로고    scopus 로고
    • Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
    • Edgar, R., Domrachev, M., and Lash, A.E. 2002. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 30:207-210.
    • (2002) Nucleic Acids Res. , vol.30 , pp. 207-210
    • Edgar, R.1    Domrachev, M.2    Lash, A.E.3
  • 10
    • 33645762226 scopus 로고
    • Asharper Bonferroni procedure for multiple tests of significance
    • Hochberg,Y. 1988.Asharper Bonferroni procedure for multiple tests of significance. Biometrika 75:800-803.
    • (1988) Biometrika , vol.75 , pp. 800-803
    • Hochberg, Y.1
  • 11
    • 0002294347 scopus 로고
    • A simple sequentially rejective Bonferroni test procedure
    • Holm, S. 1979. A simple sequentially rejective Bonferroni test procedure. Scand. J. Stat. 6:65- 70.
    • (1979) Scand. J. Stat. , vol.6 , pp. 65-70
    • Holm, S.1
  • 12
    • 11244346557 scopus 로고    scopus 로고
    • Variance stabilization applied to microarray data calibration and to the quantification of differential expression
    • Huber, W., von Heydebreck, A., Sultmann, H., Poustka, A., and Vingron, M. 2002. Variance stabilization applied to microarray data calibration and to the quantification of differential expression. Bioinformatics 18:S96-S104.
    • (2002) Bioinformatics , vol.18
    • Huber, W.1    von Heydebreck, A.2    Sultmann, H.3    Poustka, A.4    Vingron, M.5
  • 13
    • 0030305457 scopus 로고    scopus 로고
    • R: A language for data analysis and graphics
    • Ihaka, R. and Gentleman, R. 1996. R: A language for data analysis and graphics. J. Comput. Graph. Stat. 5:299-314.
    • (1996) J. Comput. Graph. Stat. , vol.5 , pp. 299-314
    • Ihaka, R.1    Gentleman, R.2
  • 15
    • 0347122079 scopus 로고    scopus 로고
    • CIBEX: Center for information biology gene expression database
    • Ikeo, K., Ishi-i, J., Tamura, T., Gojobori, T., and Tateno, Y. 2003. CIBEX: Center for information biology gene expression database. C. R. Biol. 326:1079-1082.
    • (2003) C. R. Biol. , vol.326 , pp. 1079-1082
    • Ikeo, K.1    Ishi-i, J.2    Tamura, T.3    Gojobori, T.4    Tateno, Y.5
  • 17
    • 33746974277 scopus 로고    scopus 로고
    • Improving missing value imputation of microarray data by using spot quality weights
    • Johansson, P. and Hakkinen, J. 2006. Improving missing value imputation of microarray data by using spot quality weights. BMC Bioinformatics 7:306.
    • (2006) BMC Bioinformatics , vol.7 , pp. 306
    • Johansson, P.1    Hakkinen, J.2
  • 19
    • 0035793042 scopus 로고    scopus 로고
    • Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection
    • Li, C. and Wong, W.H. 2001. Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection. Proc. Natl. Acad. Sci. U.S.A. 98:31-36.
    • (2001) Proc. Natl. Acad. Sci. U.S.A. , vol.98 , pp. 31-36
    • Li, C.1    Wong, W.H.2
  • 20
    • 3042562270 scopus 로고    scopus 로고
    • Genomics, prior probability, and statistical tests of multiple hypotheses
    • Manly, K.F., Nettleton, D., and Hwang, J.T. 2004. Genomics, prior probability, and statistical tests of multiple hypotheses. Genome Res. 14:997- 1001.
    • (2004) Genome Res. , vol.14 , pp. 997-1001
    • Manly, K.F.1    Nettleton, D.2    Hwang, J.T.3
  • 21
    • 33747840464 scopus 로고    scopus 로고
    • Estimation and control of multiple testing error rates for microarray studies
    • Pounds, S. 2006. Estimation and control of multiple testing error rates for microarray studies. Brief. Bioinform. 7:25-36.
    • (2006) Brief. Bioinform. , vol.7 , pp. 25-36
    • Pounds, S.1
  • 22
    • 0035375137 scopus 로고    scopus 로고
    • Computational analysis of microarray data
    • Quackenbush, J. 2001. Computational analysis of microarray data. Nat. Rev. Genet. 2:418- 427.
    • (2001) Nat. Rev. Genet. , vol.2 , pp. 418-427
    • Quackenbush, J.1
  • 23
    • 0036898577 scopus 로고    scopus 로고
    • Microarray data normalization and transformation
    • Quackenbush, J. 2002. Microarray data normalization and transformation. Nat. Genet. 32:496- 501.
    • (2002) Nat. Genet. , vol.32 , pp. 496-501
    • Quackenbush, J.1
  • 25
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical bayes methods for assessing differential expression in microarray experiments
    • Article3
    • Smyth, G.K. 2004. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol. 3:ARticle3.
    • (2004) Stat. Appl. Genet. Mol. Biol. , vol.3
    • Smyth, G.K.1
  • 26
    • 27744459345 scopus 로고    scopus 로고
    • A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings
    • Torrente, A., Kapushesky, M., and Brazma, A. 2005. A new algorithm for comparing and visualizing relationships between hierarchical and flat gene expression data clusterings. Bioinformatics 21:3993-3999.
    • (2005) Bioinformatics , vol.21 , pp. 3993-3999
    • Torrente, A.1    Kapushesky, M.2    Brazma, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.