메뉴 건너뛰기




Volumn 128, Issue 12, 2011, Pages 2881-2891

Large-scale integration of microarray data reveals genes and pathways common to multiple cancer types

Author keywords

cancer; large scale; meta analysis; microarray

Indexed keywords

ASCORBIC ACID; DIETHYLSTILBESTROL; EPIRUBICIN; EPOTHILONE B; EPOTHILONE D; FLAVOPIRIDOL; IDARUBICIN; LUCANTHONE; METAL ION; NUCLEOTIDE BINDING PROTEIN; PHOSPHOTRANSFERASE; RAZOXANE; SUCCINIC ACID; TAMOXIFEN; TENIPOSIDE; TRANSCRIPTION FACTOR; VALRUBICIN;

EID: 79955471281     PISSN: 00207136     EISSN: 10970215     Source Type: Journal    
DOI: 10.1002/ijc.25854     Document Type: Article
Times cited : (37)

References (28)
  • 2
    • 0036081355 scopus 로고    scopus 로고
    • Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
    • Edgar R, Domrachev M, Lash AE,. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res 2002; 30: 207-10. (Pubitemid 34679544)
    • (2002) Nucleic Acids Research , vol.30 , Issue.1 , pp. 207-210
    • Edgar, R.1    Domrachev, M.2    Lash, A.E.3
  • 5
    • 77957114898 scopus 로고    scopus 로고
    • Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types
    • Dawany NB, Tozeren A,. Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types. BMC Bioinformatics 2010; 11: 483.
    • (2010) BMC Bioinformatics , vol.11 , pp. 483
    • Dawany, N.B.1    Tozeren, A.2
  • 6
    • 2342547678 scopus 로고    scopus 로고
    • Integrative analysis of multiple gene expression profiles applied to liver cancer study
    • DOI 10.1016/j.febslet.2004.03.081, PII S0014579304003904
    • Choi JK, Choi JY, Kim DG, Choi DW, Kim BY, Lee KH, Yeom YI, Yoo HS, Yoo OJ, Kim S,. Integrative analysis of multiple gene expression profiles applied to liver cancer study. FEBS Lett 2004; 565: 93-100. (Pubitemid 38595326)
    • (2004) FEBS Letters , vol.565 , Issue.1-3 , pp. 93-100
    • Choi, J.K.1    Choi, J.Y.2    Kim, D.G.3    Choi, D.W.4    Kim, B.Y.5    Lee, K.H.6    Yeom, Y.I.7    Yoo, H.S.8    Yoo, O.J.9    Kim, S.10
  • 7
    • 0036682376 scopus 로고    scopus 로고
    • Meta-analysis of microarrays: Interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer
    • Rhodes DR, Barrette TR, Rubin MA, Ghosh D, Chinnaiyan AM,. Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. Cancer Res 2002; 62: 4427-33. (Pubitemid 34827303)
    • (2002) Cancer Research , vol.62 , Issue.15 , pp. 4427-4433
    • Rhodes, D.R.1    Barrette, T.R.2    Rubin, M.A.3    Ghosh, D.4    Chinnaiyan, A.M.5
  • 8
    • 70349845925 scopus 로고    scopus 로고
    • Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family
    • Sanga S, Broom BM, Cristini V, Edgerton ME,. Gene expression meta-analysis supports existence of molecular apocrine breast cancer with a role for androgen receptor and implies interactions with ErbB family. BMC Med Genomics 2009; 2: 59.
    • (2009) BMC Med Genomics , vol.2 , pp. 59
    • Sanga, S.1    Broom, B.M.2    Cristini, V.3    Edgerton, M.E.4
  • 10
    • 34548127285 scopus 로고    scopus 로고
    • Large-scale integration of cancer microarray data identifies a robust common cancer signature
    • Xu L, Geman D, Winslow RL,. Large-scale integration of cancer microarray data identifies a robust common cancer signature. BMC Bioinformatics 2007; 8: 275.
    • (2007) BMC Bioinformatics , vol.8 , pp. 275
    • Xu, L.1    Geman, D.2    Winslow, R.L.3
  • 12
    • 27844594381 scopus 로고    scopus 로고
    • Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
    • Warnat P, Eils R, Brors B,. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes. BMC Bioinformatics 2005; 6: 265.
    • (2005) BMC Bioinformatics , vol.6 , pp. 265
    • Warnat, P.1    Eils, R.2    Brors, B.3
  • 13
    • 33750616028 scopus 로고    scopus 로고
    • A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
    • Katz S, Irizarry RA, Lin X, Tripputi M, Porter MW,. A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database. BMC Bioinformatics 2006; 7: 464.
    • (2006) BMC Bioinformatics , vol.7 , pp. 464
    • Katz, S.1    Irizarry, R.A.2    Lin, X.3    Tripputi, M.4    Porter, M.W.5
  • 21
    • 61449172037 scopus 로고    scopus 로고
    • Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
    • Huang da W, Sherman BT, Lempicki RA,. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protoc 2009; 4: 44-57.
    • (2009) Nat Protoc , vol.4 , pp. 44-57
    • Huang Da, W.1    Sherman, B.T.2    Lempicki, R.A.3
  • 25
    • 53149135477 scopus 로고    scopus 로고
    • Key issues in conducting a meta-analysis of gene expression microarray datasets
    • Ramasamy A, Mondry A, Holmes CC, Altman DG,. Key issues in conducting a meta-analysis of gene expression microarray datasets. PLoS Med 2008; 5: e184.
    • (2008) PLoS Med , vol.5
    • Ramasamy, A.1    Mondry, A.2    Holmes, C.C.3    Altman, D.G.4
  • 26
    • 65249115735 scopus 로고    scopus 로고
    • RankAggreg, an R package for weighted rank aggregation
    • Pihur V, Datta S,. RankAggreg, an R package for weighted rank aggregation. BMC Bioinformatics 2009; 10: 62.
    • (2009) BMC Bioinformatics , vol.10 , pp. 62
    • Pihur, V.1    Datta, S.2
  • 27
    • 33751006151 scopus 로고    scopus 로고
    • RankProd: A bioconductor package for detecting differentially expressed genes in meta-analysis
    • DOI 10.1093/bioinformatics/btl476
    • Hong F, Breitling R, McEntee CW, Wittner BS, Nemhauser JL, Chory J,. RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis. Bioinformatics 2006; 22: 2825-7. (Pubitemid 44742407)
    • (2006) Bioinformatics , vol.22 , Issue.22 , pp. 2825-2827
    • Hong, F.1    Breitling, R.2    McEntee, C.W.3    Wittner, B.S.4    Nemhauser, J.L.5    Chory, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.