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Volumn 22, Issue 23, 2006, Pages 2905-2909

Robust method for detecting differential gene expression in twin studies

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; CORRELATION ANALYSIS; GENE EXPRESSION PROFILING; INFORMATION PROCESSING; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS;

EID: 33751365496     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/btl501     Document Type: Article
Times cited : (2)

References (7)
  • 1
    • 0003812861 scopus 로고    scopus 로고
    • Microarrays and their use in a comparative experiment
    • Technical Report 37B/213, Statistical Department, Stanford University
    • Efron,B., Tibshirani,R., Goss,V. and Chu,G. (2000) Microarrays and their use in a comparative experiment. Technical Report 37B/213, Statistical Department, Stanford University.
    • (2000)
    • Efron, B.1    Tibshirani, R.2    Goss, V.3    Chu, G.4
  • 4
    • 0036051492 scopus 로고    scopus 로고
    • How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach
    • Pan,W., Lin,J. and Le,C. (2002) How many replicates of arrays are required to detect gene expression changes in microarray experiments? A mixture model approach. Genome Biol., 3, 1-11.
    • (2002) Genome Biol. , vol.3 , pp. 1-11
    • Pan, W.1    Lin, J.2    Le, C.3
  • 5
    • 0041592555 scopus 로고    scopus 로고
    • On the use of permutation in and the performance of a class of non-parametric methods to detect differential gene expression
    • Pan,W. (2003) On the use of permutation in and the performance of a class of non-parametric methods to detect differential gene expression. Bioinformatics, 19, 1333-1339.
    • (2003) Bioinformatics , vol.19 , pp. 1333-1339
    • Pan, W.1
  • 6
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical Bayes methods foe assessing differential expression in microarray experiments
    • Smyth,G.K. (2004) Linear models and empirical Bayes methods foe assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol., 3, 1-26.
    • (2004) Stat. Appl. Genet. Mol. Biol. , vol.3 , pp. 1-26
    • Smyth, G.K.1
  • 7
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • Tusher,V.G., Tibshirani,R. and Chu,G. (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl Acad. Sci. USA, 98, 5116-5121.
    • (2001) Proc. Natl Acad. Sci. USA , vol.98 , pp. 5116-5121
    • Tusher, V.G.1    Tibshirani, R.2    Chu, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.