메뉴 건너뛰기




Volumn 6, Issue 10, 2011, Pages

Attract: A method for identifying core pathways that define cellular phenotypes

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; DATA ANALYSIS SOFTWARE; GENE EXPRESSION PROFILING; GENETIC CORRELATION; GENETIC DATABASE; MATHEMATICAL MODEL; NUCLEOTIDE SEQUENCE; PERFORMANCE MEASUREMENT SYSTEM; PHENOTYPE; SYSTEM ANALYSIS; ANALYSIS OF VARIANCE; ANIMAL; BIOLOGY; CELLS; COMPUTER PROGRAM; GENE REGULATORY NETWORK; GENETICS; HUMAN; METABOLISM; METHODOLOGY; MOLECULAR GENETICS; RIBOSOME;

EID: 80054119877     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0025445     Document Type: Article
Times cited : (40)

References (16)
  • 1
    • 52149097555 scopus 로고    scopus 로고
    • Regulatory networks define phenotypic classes of human stem cell lines
    • Müller F, Laurent L, Kostka D, Ulitsky I, Williams R, et al. (2008) Regulatory networks define phenotypic classes of human stem cell lines. Nature 455: 401-405.
    • (2008) Nature , vol.455 , pp. 401-405
    • Müller, F.1    Laurent, L.2    Kostka, D.3    Ulitsky, I.4    Williams, R.5
  • 2
    • 65449141657 scopus 로고    scopus 로고
    • Identifying functional modules using expression profiles and confidence-scored protein interactions
    • Ulitsky I, Shamir R, (2009) Identifying functional modules using expression profiles and confidence-scored protein interactions. Bioinformatics 25: 1158-1164.
    • (2009) Bioinformatics , vol.25 , pp. 1158-1164
    • Ulitsky, I.1    Shamir, R.2
  • 3
    • 0033982936 scopus 로고    scopus 로고
    • KEGG: Kyoto Encyclopedia of Genes and Genomes
    • Kanehisa M, Goto S, (2000) KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res 28: 27-30.
    • (2000) Nucleic Acids Res , vol.28 , pp. 27-30
    • Kanehisa, M.1    Goto, S.2
  • 5
    • 0001677717 scopus 로고
    • Controlling the false discovery rate - a practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y, (1995) Controlling the false discovery rate- a practical and powerful approach to multiple testing. J R Stat Soc Ser B 57: 289-300.
    • (1995) J R Stat Soc Ser B , vol.57 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 6
    • 0033518256 scopus 로고    scopus 로고
    • Synexpression groups in eukaryotes
    • Niehrs C, Pollet N, (1999) Synexpression groups in eukaryotes. Nature 402: 483-487.
    • (1999) Nature , vol.402 , pp. 483-487
    • Niehrs, C.1    Pollet, N.2
  • 7
    • 79954521574 scopus 로고    scopus 로고
    • Defining an Informativeness Metric for Clustering Gene Expression Data
    • Mar JC, Wells CA, Quackenbush J, (2011) Defining an Informativeness Metric for Clustering Gene Expression Data. Bioinformatics 27: 1094-1100.
    • (2011) Bioinformatics , vol.27 , pp. 1094-1100
    • Mar, J.C.1    Wells, C.A.2    Quackenbush, J.3
  • 8
    • 61449172037 scopus 로고    scopus 로고
    • Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources
    • Huang DW, Sherman BT, Lempicki RA, (2009) Systematic and integrative analysis of large gene lists using DAVID Bioinformatics Resources. Nature Protoc 4: 44-57.
    • (2009) Nature Protoc , vol.4 , pp. 44-57
    • Huang, D.W.1    Sherman, B.T.2    Lempicki, R.A.3
  • 9
    • 0038005018 scopus 로고    scopus 로고
    • DAVID: Database for Annotation, Visualization, and Integrated Discovery
    • Dennis G, Sherman BT, Hosack DA, Yang J, Gao W, et al. (2003) DAVID: Database for Annotation, Visualization, and Integrated Discovery. Genome Biology 4: 3.
    • (2003) Genome Biology , vol.4 , pp. 3
    • Dennis, G.1    Sherman, B.T.2    Hosack, D.A.3    Yang, J.4    Gao, W.5
  • 10
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical Bayes methods for assessing differential expression in microarray experiments
    • Article 3
    • Smyth GK, (2004) Linear models and empirical Bayes methods for assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology 3: Article 3.
    • (2004) Statistical Applications in Genetics and Molecular Biology , vol.3
    • Smyth, G.K.1
  • 12
    • 33847324900 scopus 로고    scopus 로고
    • Extensions to gene set enrichment
    • Jiang Z, Gentleman R, (2007) Extensions to gene set enrichment. Bioinformatics 23: 306-313.
    • (2007) Bioinformatics , vol.23 , pp. 306-313
    • Jiang, Z.1    Gentleman, R.2
  • 13
    • 55749111082 scopus 로고    scopus 로고
    • Gene set enrichment analysis using linear models and diagnostics
    • Oron AP, Jiang Z, Gentleman R, (2008) Gene set enrichment analysis using linear models and diagnostics. Bioinformatics 24: 2586-2591.
    • (2008) Bioinformatics , vol.24 , pp. 2586-2591
    • Oron, A.P.1    Jiang, Z.2    Gentleman, R.3
  • 14
    • 50949084896 scopus 로고    scopus 로고
    • Geometric interpretaion of gene coexpression network analysis
    • Horvath S, Dong J, (2008) Geometric interpretaion of gene coexpression network analysis. PLoS Computational Biology 4: e1000117.
    • (2008) PLoS Computational Biology , vol.4
    • Horvath, S.1    Dong, J.2
  • 15
    • 68949098307 scopus 로고    scopus 로고
    • Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells
    • Mason M, Fan G, Plath K, Zhou Q, Horvath S, (2009) Signed weighted gene co-expression network analysis of transcriptional regulation in murine embryonic stem cells. BMC Genomics 10: 327.
    • (2009) BMC Genomics , vol.10 , pp. 327
    • Mason, M.1    Fan, G.2    Plath, K.3    Zhou, Q.4    Horvath, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.