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Volumn , Issue , 2004, Pages 366-375

A time series analysis of microarray data

Author keywords

[No Author keywords available]

Indexed keywords

GENE EXPRESSION; MICROARRAY DATA; TIME SERIES;

EID: 4544219510     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBE.2004.1317367     Document Type: Conference Paper
Times cited : (47)

References (45)
  • 3
    • 0037958764 scopus 로고    scopus 로고
    • Robust cluster analysis of microarray gene expression data with the number of clusters determined biologically
    • David R. Bickel, Robust cluster analysis of microarray gene expression data with the number of clusters determined biologically, Bioinformatics 19 (2003), no. 7, 818-824.
    • (2003) Bioinformatics , vol.19 , Issue.7 , pp. 818-824
    • Bickel, D.R.1
  • 4
    • 0032402905 scopus 로고    scopus 로고
    • The integration of microarray information in the drug development process
    • S. Braxton and T. Bedillion, The integration of microarray information in the drug development process, Current Opinion in Biotechnology 9 (1998), no. 6, 643-649.
    • (1998) Current Opinion in Biotechnology , vol.9 , Issue.6 , pp. 643-649
    • Braxton, S.1    Bedillion, T.2
  • 7
    • 0026580013 scopus 로고
    • The gene encoding camp receptor protein is required for competence development in haemophilus influenzae rd
    • MS Chandler, The gene encoding camp receptor protein is required for competence development in haemophilus influenzae rd, Procedings of National Academy of Sciences 5 (1992), no. 89, 1626-1630.
    • (1992) Procedings of National Academy of Sciences , vol.5 , Issue.89 , pp. 1626-1630
    • Chandler, M.S.1
  • 8
    • 0036740360 scopus 로고    scopus 로고
    • Ratio statistics of gene expression levels and applications to microarray data analysis
    • Yidong Chen, Vishnu Kamat, Edward r. Dougherty, Michael L. Bittner, Paul S. Meltzer, and Jeffrey M. Trent, Ratio statistics of gene expression levels and applications to microarray data analysis, Bioinformatics 18 (2002), no. 9, 1207-1215.
    • (2002) Bioinformatics , vol.18 , Issue.9 , pp. 1207-1215
    • Chen, Y.1    Kamat, V.2    Dougherty, E.R.3    Bittner, M.L.4    Meltzer, P.S.5    Trent, J.M.6
  • 9
    • 0037194661 scopus 로고    scopus 로고
    • Gene-expression profile comparisons distinguish seven organs of maize
    • research0045.1-0045.16
    • Yangrae Cho, John Fernandes, Soo-Hwan Kim, and Virginia Walbot, Gene-expression profile comparisons distinguish seven organs of maize, Genome Biology 3 (2002), no. 9, research0045.1-0045.16.
    • (2002) Genome Biology , vol.3 , pp. 9
    • Cho, Y.1    Fernandes, J.2    Kim, S.-H.3    Walbot, V.4
  • 12
    • 0037276175 scopus 로고    scopus 로고
    • Statistical tests for differential expression in cdna microarray experiments
    • Xiangqin Cui and Gary A. Churchill, Statistical tests for differential expression in cdna microarray experiments, Genome Biology 4 (2003), no. 4, 210.
    • (2003) Genome Biology , vol.4 , Issue.4 , pp. 210
    • Cui, X.1    Churchill, G.A.2
  • 13
    • 84984934048 scopus 로고    scopus 로고
    • DNA microarrays in drug discovery and development
    • C. Debouck and P. N. Goodfelloe, DNA microarrays in drug discovery and development, Nature Genetics 21 (1999), no. 1 Suppl, 48-50.
    • (1999) Nature Genetics , vol.21 , Issue.1 SUPPL. , pp. 48-50
    • Debouck, C.1    Goodfelloe, P.N.2
  • 16
    • 0036080429 scopus 로고    scopus 로고
    • GP3: GenePix post-processing program for automated analysis of raw microarray data
    • M. R. Fielden, R. G. Halgren, E. Dere, and T. R. Zacharewski, GP3: GenePix post-processing program for automated analysis of raw microarray data, Bioinformatics 18 (2002), no. 5, 771-773.
    • (2002) Bioinformatics , vol.18 , Issue.5 , pp. 771-773
    • Fielden, M.R.1    Halgren, R.G.2    Dere, E.3    Zacharewski, T.R.4
  • 18
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: Efficiency versus interpretability of classifications
    • Edward W. Forgy, Cluster analysis of multivariate data: Efficiency versus interpretability of classifications, Biometrics 21 (1965), 768.
    • (1965) Biometrics , vol.21 , pp. 768
    • Forgy, E.W.1
  • 19
    • 0037715343 scopus 로고    scopus 로고
    • Novel clustering algorithm for microarray expression data in a truncated svd space
    • D. Horn and I. Axel, Novel clustering algorithm for microarray expression data in a truncated svd space, Bioinformatics 19 (2003), no. 9, 1110-1115.
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1110-1115
    • Horn, D.1    Axel, I.2
  • 22
    • 85150810448 scopus 로고    scopus 로고
    • An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback
    • (New York City, NY) (R. Agrawal, P. Stolorz, and G. Piatetsky-Shapiro, eds.), ACM Press
    • Eamonn Keogh and M. Pazzani, An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback, Fourth International Conference on Knowledge Discovery and Data Mining (KDD'98) (New York City, NY) (R. Agrawal, P. Stolorz, and G. Piatetsky-Shapiro, eds.), ACM Press, 1998, pp. 239-241.
    • (1998) Fourth International Conference on Knowledge Discovery and Data Mining (KDD'98) , pp. 239-241
    • Keogh, E.1    Pazzani, M.2
  • 23
    • 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, Journal Comput Biol 7 (2000), no. 6, 819-837.
    • (2000) Journal Comput Biol , vol.7 , Issue.6 , pp. 819-837
    • Kerr, M.K.1    Martin, M.2    Churchill, G.A.3
  • 24
    • 0033602367 scopus 로고    scopus 로고
    • Dna microarray technology: The anticipated impact on the study of human disease
    • J. Khan, M. L. Bittner, Y. Chen, P. S. Meltzer, and J. M. Trent, Dna microarray technology: the anticipated impact on the study of human disease, Biochim Biophys Acta 1423 (1999), no. 2, M17-28.
    • (1999) Biochim Biophys Acta , vol.1423 , Issue.2
    • Khan, J.1    Bittner, M.L.2    Chen, Y.3    Meltzer, P.S.4    Trent, J.M.5
  • 25
    • 0020068152 scopus 로고
    • Self-organized formation of topologically correct feature maps
    • T. Kohnen, Self-organized formation of topologically correct feature maps, Biological Cybernetics 43 (1982), 59-69.
    • (1982) Biological Cybernetics , vol.43 , pp. 59-69
    • Kohnen, T.1
  • 26
    • 2342598771 scopus 로고    scopus 로고
    • A high performance test of differential gene expression for oligonucleotide arrays
    • William J. Lemon, Sandya Liyanarachchi, and Ming You, A high performance test of differential gene expression for oligonucleotide arrays, Genome Biology 4 (2003), no. 10, R67.1-67.11.
    • (2003) Genome Biology , vol.4 , Issue.10
    • Lemon, W.J.1    Liyanarachchi, S.2    You, M.3
  • 27
    • 0034619691 scopus 로고    scopus 로고
    • Regulation of competence development in haemophilus influenzae proposed competence regulatory elements are crp-binding sites
    • Leah P. Macfadyan, Regulation of competence development in haemophilus influenzae proposed competence regulatory elements are crp-binding sites, J. theor. Biol. (2000), no. 207, 1-11.
    • (2000) J. Theor. Biol. , Issue.207 , pp. 1-11
    • Macfadyan, L.P.1
  • 28
    • 0037620665 scopus 로고    scopus 로고
    • Reconstructing the temporal ordering of biological samples using microarray data
    • Paul M. Magwene, Paul Lizardi, and Junhyong Kim, Reconstructing the temporal ordering of biological samples using microarray data, Bioinformatics 19 (2003), no. 7, 842-850.
    • (2003) Bioinformatics , vol.19 , Issue.7 , pp. 842-850
    • Magwene, P.M.1    Lizardi, P.2    Kim, J.3
  • 29
    • 0038391429 scopus 로고    scopus 로고
    • Gene interaction in dna microarray data is decomposed by information geometric measure
    • Hiroyuki Nakahara, Shin ichi Nishimura, Masato Inoue, Gen Hori, and Shun ichi Amari, Gene interaction in dna microarray data is decomposed by information geometric measure, Bioinformatics 19 (2003), no. 9, 1124-1131.
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1124-1131
    • Nakahara, H.1    Nishimura, S.I.2    Inoue, M.3    Hori, G.4    Amari, S.I.5
  • 30
    • 0035999977 scopus 로고    scopus 로고
    • A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments
    • Wei Pan, A comparative review of statistical methods for discovering differentially expressed genes in replicated microarray experiments, Bioinformatics 18 (2002), no. 4, 546-554.
    • (2002) Bioinformatics , vol.18 , Issue.4 , pp. 546-554
    • Pan, W.1
  • 31
    • 0242475337 scopus 로고    scopus 로고
    • Kernel hierarchical gene clustering from microarray expression data
    • Jie Qin, Darrin P. Lewis, and William Stafford Noble, Kernel hierarchical gene clustering from microarray expression data, Bioinformatics 19 (2003), no. 16, 2097-2104.
    • (2003) Bioinformatics , vol.19 , Issue.16 , pp. 2097-2104
    • Qin, J.1    Lewis, D.P.2    Noble, W.S.3
  • 32
    • 0036166482 scopus 로고    scopus 로고
    • CIT: Identification of differentially expressed clusters of genes from microarray data
    • Daniel R. Rhodes, Jeremy C. Miller, Brian B. Haab, and Kyle A. Furge, CIT: identification of differentially expressed clusters of genes from microarray data, Bioinformatics 18 (2002), no. 1, 205-206.
    • (2002) Bioinformatics , vol.18 , Issue.1 , pp. 205-206
    • Rhodes, D.R.1    Miller, J.C.2    Haab, B.B.3    Furge, K.A.4
  • 33
    • 0346612701 scopus 로고    scopus 로고
    • Regulation of eukaryotic dna replication and nuclear structure
    • WU Jia Rui, Regulation of eukaryotic dna replication and nuclear structure, Cell Research 9 (1999), no. 3, 163-170.
    • (1999) Cell Research , vol.9 , Issue.3 , pp. 163-170
    • Rui, W.J.1
  • 34
    • 0028806048 scopus 로고
    • Quantitative monitoring of gene expression patterns with a complementary DNA microarray
    • M. Schena, D. Schalon, R. W. Davis, and P. O. Brown, Quantitative monitoring of gene expression patterns with a complementary DNA microarray, Science 270 (1995), no. 5235, 467-70.
    • (1995) Science , vol.270 , Issue.5235 , pp. 467-470
    • Schena, M.1    Schalon, D.2    Davis, R.W.3    Brown, P.O.4
  • 39
    • 0012321068 scopus 로고    scopus 로고
    • Binary tree-structured vector quantization approach to clustering and visualizing microarray data
    • M. Sultan, D. A. Wigle, C. A. Cumbaa, M. Maziarz, J. Glasgow, M. S. Tsao, and I. Jurisica, Binary tree-structured vector quantization approach to clustering and visualizing microarray data, Bioinformatics 18 (2002), no. supl, s111-s119.
    • (2002) Bioinformatics , vol.18 , Issue.SUPPL.
    • Sultan, M.1    Wigle, D.A.2    Cumbaa, C.A.3    Maziarz, M.4    Glasgow, J.5    Tsao, M.S.6    Jurisica, I.7
  • 42
    • 0033962972 scopus 로고    scopus 로고
    • Interactions between pho85 cyclindependent kinase complexes and the swi5 transcription factor in budding yeast
    • Measday V., McBride H., Moffat J., Stillman D., and Andrews B, Interactions between pho85 cyclindependent kinase complexes and the swi5 transcription factor in budding yeast., Molecular Microbiolgy 35 (2000), no. 4, 825-834.
    • (2000) Molecular Microbiolgy , vol.35 , Issue.4 , pp. 825-834
    • Measday, V.1    McBride, H.2    Moffat, J.3    Stillman, D.4    Andrews, B.5
  • 44
    • 0347093600 scopus 로고    scopus 로고
    • Identifying periodically expressed transcripts in microarray time series data
    • Sofia Wiehert, Konstantinos Fokianos, and Korbinian Strimmer, Identifying periodically expressed transcripts in microarray time series data, Bioinformatics 20 (2004), no. 1, 5-20.
    • (2004) Bioinformatics , vol.20 , Issue.1 , pp. 5-20
    • Wiehert, S.1    Fokianos, K.2    Strimmer, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.