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Volumn 26, Issue 5-6, 2004, Pages 279-290

Microarray data analysis: From hypotheses to conclusions using gene expression data

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATION; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLUSTER ANALYSIS; DIAGNOSTIC PROCEDURE; DNA MICROARRAY; FILTRATION; GENE EXPRESSION; HUMAN; IMAGING; MUTATION; PHILOSOPHY; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; REVIEW; RISK ASSESSMENT; STATISTICAL ANALYSIS; TASK PERFORMANCE; COMPUTER PROGRAM; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; IMAGE PROCESSING; INTERNET; METHODOLOGY; MULTIGENE FAMILY; STATISTICAL MODEL; STATISTICS;

EID: 21444453101     PISSN: 15705870     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (46)

References (44)
  • 3
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Y. Benjamini and Y. Hochberg, Controlling the false discovery rate: A practical and powerful approach to multiple testing, J. Roy. Statist. Soc. B 57 (1995), 289-300.
    • (1995) J. Roy. Statist. Soc. B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 4
    • 0141818360 scopus 로고    scopus 로고
    • Use of genetic profiling in leprosy to discriminate clinical forms of the disease
    • J.R. Bleharski, H. Li, C. Meinken et al., Use of genetic profiling in leprosy to discriminate clinical forms of the disease, Science 301 (2003), 1527-1530.
    • (2003) Science , vol.301 , pp. 1527-1530
    • Bleharski, J.R.1    Li, H.2    Meinken, C.3
  • 5
    • 0037316303 scopus 로고    scopus 로고
    • A comparison of normalization methods for high density oligonucleotide array data based on variance and bias
    • B.M. Bolstad, R.A. Irizarry, M. Astrand and T.P. Speed, A comparison of normalization methods for high density oligonucleotide array data based on variance and bias, Bioinformatics 19 (2003), 185-193.
    • (2003) Bioinformatics , vol.19 , pp. 185-193
    • Bolstad, B.M.1    Irizarry, R.A.2    Astrand, M.3    Speed, T.P.4
  • 6
    • 85142187991 scopus 로고    scopus 로고
    • A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments
    • in press
    • P. Broët, A. Lewin, S. Richardson, C. Dalmasso and H. Magdelenat, A mixture model-based strategy for selecting sets of genes in multiclass response microarray experiments, Bioinformatics, in press.
    • Bioinformatics
    • Broët, P.1    Lewin, A.2    Richardson, S.3    Dalmasso, C.4    Magdelenat, H.5
  • 7
    • 0036900895 scopus 로고    scopus 로고
    • Fundamentals of experimental design for cDNA microarrays
    • G.A. Churchill, Fundamentals of experimental design for cDNA microarrays, Nat. Genet. 32 (2002), 490-495.
    • (2002) Nat. Genet. , vol.32 , pp. 490-495
    • Churchill, G.A.1
  • 11
  • 13
    • 0036366689 scopus 로고    scopus 로고
    • Combining location and expression data for principled discovery of genetic regulatory network models
    • A.J. Hartemink, D.K. Gifford, T.S. Jaakkola and R.A Young, Combining location and expression data for principled discovery of genetic regulatory network models, in: Pacific Symposium on Biocomputing, 2002, pp. 437-449.
    • (2002) Pacific Symposium on Biocomputing , pp. 437-449
    • Hartemink, A.J.1    Gifford, D.K.2    Jaakkola, T.S.3    Young, R.A.4
  • 14
    • 0034628901 scopus 로고    scopus 로고
    • Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae
    • J.D. Hughes, P.W. Estep, S. Tavazoie and G.M. Church, Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae. J. Mol. Biol. 296 (2000), 1205-1214.
    • (2000) J. Mol. Biol. , vol.296 , pp. 1205-1214
    • Hughes, J.D.1    Estep, P.W.2    Tavazoie, S.3    Church, G.M.4
  • 15
    • 0034086773 scopus 로고    scopus 로고
    • Automatics discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation
    • L.J. Jensen and S. Knudsen, Automatics discovery of regulatory patterns in promoter regions based on whole cell expression data and functional annotation, Bioinformatics 16 (1999), 326-333.
    • (1999) Bioinformatics , vol.16 , pp. 326-333
    • Jensen, L.J.1    Knudsen, S.2
  • 17
    • 0000884487 scopus 로고    scopus 로고
    • Experimental design for gene expression microarrays
    • M.K. Kerr and G.A. Churchill, Experimental design for gene expression microarrays, Biostatistics 2 (2001), 183-201.
    • (2001) Biostatistics , vol.2 , pp. 183-201
    • Kerr, M.K.1    Churchill, G.A.2
  • 18
    • 0034927555 scopus 로고    scopus 로고
    • Analysis of variance for gene expression microarray data
    • M.K. Kerr, M. Martin and G. A. Churchill, Analysis of variance for gene expression microarray data, J. Comput. Biol. 7 (2000), 819-837.
    • (2000) J. Comput. Biol. , vol.7 , pp. 819-837
    • Kerr, M.K.1    Martin, M.2    Churchill, G.A.3
  • 21
    • 12744266814 scopus 로고    scopus 로고
    • Partial Cox regression analysis for high-dimensional microarray gene expression data
    • H. Li and J. Gui, Partial Cox regression analysis for high-dimensional microarray gene expression data, Bioinformatics 20(Suppl. 1) (2004), i208-i215.
    • (2004) Bioinformatics , vol.20 , Issue.1 SUPPL.
    • Li, H.1    Gui, J.2
  • 22
    • 0031616241 scopus 로고    scopus 로고
    • Reveal, a general reverse engineering algorithm for inference of genetic network architectures
    • S. Liang, R. Fuhrman and R. Somogyi, Reveal, a general reverse engineering algorithm for inference of genetic network architectures, in: Pacific Symposium on Biocomputing, 1998, pp. 18-29.
    • (1998) Pacific Symposium on Biocomputing , pp. 18-29
    • Liang, S.1    Fuhrman, R.2    Somogyi, R.3
  • 23
    • 21444439200 scopus 로고    scopus 로고
    • Max Planck Institute for molecular genetics
    • C. Lottaz, StAM: Structured analysis of microarray data. Max Planck Institute for molecular genetics, http://compdiag. molgen.mpg.de/research/ project_stam.shtml, 2004.
    • (2004) StAM: Structured Analysis of Microarray Data
    • Lottaz, C.1
  • 24
    • 0037623370 scopus 로고    scopus 로고
    • Cancer classification using gene expression data
    • Y. Lu and J. Han, Cancer classification using gene expression data, Information Systems 28 (2003), 243-268.
    • (2003) Information Systems , vol.28 , pp. 243-268
    • Lu, Y.1    Han, J.2
  • 25
    • 0038054341 scopus 로고    scopus 로고
    • PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes
    • V.M. Mootha, C.M. Lindgren, K. Eriksson et al., PGC-1α-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes, Nat. Genet. 34 (2003), 267-273.
    • (2003) Nat. Genet. , vol.34 , pp. 267-273
    • Mootha, V.M.1    Lindgren, C.M.2    Eriksson, K.3
  • 26
    • 14844307159 scopus 로고    scopus 로고
    • Inferring quantitative models of regulatory networks from expression data
    • I. Nachman, A. Regev and N. Friedman, Inferring quantitative models of regulatory networks from expression data, Bioinformations 20 (2004), I248-I256.
    • (2004) Bioinformations , vol.20
    • Nachman, I.1    Regev, A.2    Friedman, N.3
  • 28
    • 18144442687 scopus 로고    scopus 로고
    • Inferring subnetworks from perturbed expression profiles
    • D. Pe'er, A. Regev, G. Elidan and N. Friedman, Inferring subnetworks from perturbed expression profiles, Bioinformatics 1 (2001), 1-9.
    • (2001) Bioinformatics , vol.1 , pp. 1-9
    • Pe'er, D.1    Regev, A.2    Elidan, G.3    Friedman, N.4
  • 29
    • 0036898577 scopus 로고    scopus 로고
    • Microarray data normalization and transformation
    • J. Quackenbush, Microarray data normalization and transformation, Nat. Genet. 32 (2002), 496-501.
    • (2002) Nat. Genet. , vol.32 , pp. 496-501
    • Quackenbush, J.1
  • 30
    • 0035684378 scopus 로고    scopus 로고
    • A model for measurement error for gene expression arrays
    • D.M. Rocke and B. Durbin, A model for measurement error for gene expression arrays, J. Comput. Biol. 8 (2001), 557-569.
    • (2001) J. Comput. Biol. , vol.8 , pp. 557-569
    • Rocke, D.M.1    Durbin, B.2
  • 31
    • 0029748326 scopus 로고    scopus 로고
    • Parallel human genome analysis: Microarray-based expression monitoring of 1000 genes
    • M. Schena, D. Shalon, R. Heller, A. Chai, P.O. Brown and R.W. Davis, Parallel human genome analysis: microarray-based expression monitoring of 1000 genes, Proc. Nat. Acad. Sci. USA 93 (1996), 10614-10619.
    • (1996) Proc. Nat. Acad. Sci. USA , vol.93 , pp. 10614-10619
    • Schena, M.1    Shalon, D.2    Heller, R.3    Chai, A.4    Brown, P.O.5    Davis, R.W.6
  • 32
    • 0842309161 scopus 로고    scopus 로고
    • Discovering molecular pathways from protein interaction and gene expression data
    • E. Segal, H. Wang and D. Koller, Discovering molecular pathways from protein interaction and gene expression data, Bioinformatics 19 (2003), 1264-1272.
    • (2003) Bioinformatics , vol.19 , pp. 1264-1272
    • Segal, E.1    Wang, H.2    Koller, D.3
  • 33
    • 0141498446 scopus 로고    scopus 로고
    • Algorithmic approaches to clustering gene expression data
    • Y. Xu T. Jiang, T. Smith and M.Q. Zhang, eds, MIT Press
    • R. Shamir and R. Sharan, Algorithmic approaches to clustering gene expression data, in: Current Topics in Computational Biology, Y. Xu T. Jiang, T. Smith and M.Q. Zhang, eds, MIT Press, 2001.
    • (2001) Current Topics in Computational Biology
    • Shamir, R.1    Sharan, R.2
  • 36
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • V.G. Tusher, R. Tibshirani and G. Chu, Significance analysis of microarrays applied to the ionizing radiation response, Proc. Natl. Acad. Sci. 98 (2001), 5116-5121.
    • (2001) Proc. Natl. Acad. Sci. , vol.98 , pp. 5116-5121
    • Tusher, V.G.1    Tibshirani, R.2    Chu, G.3
  • 37
    • 14644413619 scopus 로고    scopus 로고
    • Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives
    • Article 15
    • M.J. Van der Laan, S. Dudoit and K.S. Pollard, Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives, Statistical Applications in Genetics and Molecular Biology 3(1) (2004), Article 15.
    • (2004) Statistical Applications in Genetics and Molecular Biology , vol.3 , Issue.1
    • Van Der Laan, M.J.1    Dudoit, S.2    Pollard, K.S.3
  • 38
    • 0037168519 scopus 로고    scopus 로고
    • A systematic approach to reconstructing transcription networks in Saccharomyces cerevisiae
    • W. Wang, J.M. Cherry, D. Botstein and H. Li, A systematic approach to reconstructing transcription networks in Saccharomyces cerevisiae, Proc. Natl. Acad. Sci. USA 99 (2002), 16893-16898.
    • (2002) Proc. Natl. Acad. Sci. USA , vol.99 , pp. 16893-16898
    • Wang, W.1    Cherry, J.M.2    Botstein, D.3    Li, H.4
  • 43
    • 0036319960 scopus 로고    scopus 로고
    • Design issues for cDNA microarray experiments
    • Y.H. Yang and T. Speed, Design issues for cDNA microarray experiments, Nat. Rev. Genet. 3 (2002), 579-588.
    • (2002) Nat. Rev. Genet. , vol.3 , pp. 579-588
    • Yang, Y.H.1    Speed, T.2
  • 44
    • 0037667290 scopus 로고    scopus 로고
    • Clustering gene-expression data with repeated measurements
    • K.Y. Yeung, M. Medvedovic and R.E. Bumgarner, Clustering gene-expression data with repeated measurements, Genome Biology 4 (2003), R4.
    • (2003) Genome Biology , vol.4
    • Yeung, K.Y.1    Medvedovic, M.2    Bumgarner, R.E.3


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