메뉴 건너뛰기




Volumn 23, Issue 7, 2007, Pages 850-858

Gene expression network analysis and applications to immunology

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CANCER; COMPUTER PROGRAM; CONTROLLED STUDY; GENE EXPRESSION; GENE IDENTIFICATION; GENE INTERACTION; HUMAN; IMMUNE SYSTEM; IMMUNOLOGY; MICROARRAY ANALYSIS; PRIORITY JOURNAL; SCORING SYSTEM; BIOLOGICAL MODEL; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; IMMUNOLOGICAL PROCEDURES; METHODOLOGY; SIGNAL TRANSDUCTION;

EID: 34248593385     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btm019     Document Type: Article
Times cited : (135)

References (17)
  • 1
    • 13244253770 scopus 로고    scopus 로고
    • Graph-based iterative group analysis enhances microarray interpretation
    • Breitling,R. et al. (2004) Graph-based iterative group analysis enhances microarray interpretation. BMC Bioinformatics, 5, 100.
    • (2004) BMC Bioinformatics , vol.5 , pp. 100
    • Breitling, R.1
  • 2
    • 20844450402 scopus 로고    scopus 로고
    • Differential network expression during drug and stress response
    • Cabusora,L. et al. (2004) Differential network expression during drug and stress response. Bioinformatics, 21, 2898-2905.
    • (2004) Bioinformatics , vol.21 , pp. 2898-2905
    • Cabusora, L.1
  • 3
    • 19344363035 scopus 로고    scopus 로고
    • Gene expression signature of fibroblast serum response predicts human cancer progression - similarities between tumors and wounds
    • Chang,H. et al. (2004) Gene expression signature of fibroblast serum response predicts human cancer progression - similarities between tumors and wounds. PLoS Bio., 2, 206-214.
    • (2004) PLoS Bio , vol.2 , pp. 206-214
    • Chang, H.1
  • 4
    • 34447294463 scopus 로고    scopus 로고
    • Alterations in gene expression of regulatory T cells in melanoma patients
    • In preparation
    • Critchley-Thorne,R. et al. (2006a) Alterations in gene expression of regulatory T cells in melanoma patients. In preparation.
    • (2006)
    • Critchley-Thorne, R.1
  • 5
    • 34447304558 scopus 로고    scopus 로고
    • Inhibition of interferon signaling in lymphocytes in metastatic melanoma patients
    • To appear
    • Critchley-Thorne,R. et al. (2006b) Inhibition of interferon signaling in lymphocytes in metastatic melanoma patients. To appear.
    • (2006)
    • Critchley-Thorne, R.1
  • 6
    • 22744458472 scopus 로고    scopus 로고
    • Pathways to the analysis of microarray data
    • Curtis,R.K. et al. (2005) Pathways to the analysis of microarray data. Trends Biotechnol., 23, 429-435.
    • (2005) Trends Biotechnol , vol.23 , pp. 429-435
    • Curtis, R.K.1
  • 7
    • 0036578644 scopus 로고    scopus 로고
    • GenMAPP, a new tool for viewing and analyzing microarray data on biological pathways
    • Dahlquist,K.D. et al. (2002) GenMAPP, a new tool for viewing and analyzing microarray data on biological pathways. Nat. Genet., 31 19-20.
    • (2002) Nat. Genet , vol.31 , pp. 19-20
    • Dahlquist, K.D.1
  • 8
    • 0036376993 scopus 로고    scopus 로고
    • Statistical methods for identifying differentially expressed genes in replicated cDNA microarrray experiments
    • Dudoit,S. et al. (2002) Statistical methods for identifying differentially expressed genes in replicated cDNA microarrray experiments. Statistica Sinica, 12, 111-139.
    • (2002) Statistica Sinica , vol.12 , pp. 111-139
    • Dudoit, S.1
  • 9
    • 28744458859 scopus 로고    scopus 로고
    • Bioconductor: Open software development for computational biology and bioinformatics
    • Gentleman,R.C. et al. (2004) Bioconductor: Open software development for computational biology and bioinformatics. Genome Biol., 5, R80.
    • (2004) Genome Biol , vol.5
    • Gentleman, R.C.1
  • 10
    • 11244346557 scopus 로고    scopus 로고
    • Variance stabilization applied to microarray data calibration and to the quantification of differential expression
    • Huber,W. et al. (2002) Variance stabilization applied to microarray data calibration and to the quantification of differential expression. Bioinformatics, 18, S96-104.
    • (2002) Bioinformatics , vol.18
    • Huber, W.1
  • 11
    • 0000801240 scopus 로고    scopus 로고
    • Discovering regulatory and signalling circuits in molecular interaction networks
    • Ideker,T. et al. (2002) Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics, 18 S233-S240.
    • (2002) Bioinformatics , vol.18
    • Ideker, T.1
  • 12
    • 15944402798 scopus 로고    scopus 로고
    • Inferring pathways from gene lists using a literaturederived network of biological relationships
    • Rajagopalan,D. and Agarwal,P. (2005) Inferring pathways from gene lists using a literaturederived network of biological relationships. Bioinformatics, 21, 788-793.
    • (2005) Bioinformatics , vol.21 , pp. 788-793
    • Rajagopalan, D.1    Agarwal, P.2
  • 13
    • 0028806048 scopus 로고
    • Quantitative monitoring of gene expression patterns with a complementary DNA microarray
    • Schena,M. et al. (1995) Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science, 270, 467-470.
    • (1995) Science , vol.270 , pp. 467-470
    • Schena, M.1
  • 14
    • 0036899286 scopus 로고    scopus 로고
    • From patterns to pathways: Gene expression data analysis comes of age
    • Slonim,D. (2002) From patterns to pathways: Gene expression data analysis comes of age. Nat. Genet., 32, 502-508.
    • (2002) Nat. Genet , vol.32 , pp. 502-508
    • Slonim, D.1
  • 15
    • 0242333835 scopus 로고    scopus 로고
    • Normalization of cdna microarray data
    • Smyth,G.K. and Speed,T.P. (2003) Normalization of cdna microarray data. Methods, 31, 265-273.
    • (2003) Methods , vol.31 , pp. 265-273
    • Smyth, G.K.1    Speed, T.P.2
  • 16
    • 3142706495 scopus 로고    scopus 로고
    • New methods for joint analysis of biological networks and expression data
    • Sohler,F. et al. (2004) New methods for joint analysis of biological networks and expression data. Bioinformatics, 20, 1517-1521.
    • (2004) Bioinformatics , vol.20 , pp. 1517-1521
    • Sohler, F.1
  • 17
    • 27344435774 scopus 로고    scopus 로고
    • Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles
    • Subramanian,A. et al. (2005) Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles. PNAS, 102, 15545-15550.
    • (2005) PNAS , vol.102 , pp. 15545-15550
    • Subramanian, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.