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Volumn 8, Issue 2, 2008, Pages 109-113

Power estimation of the t test for detecting differential gene expression

Author keywords

Gene expression; Power study; T Test; Twin data

Indexed keywords

ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; CORRELATION COEFFICIENT; EXPERIMENTAL STUDY; GENE EXPRESSION PROFILING; HUMAN; MICROARRAY ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROCESS MODEL; STATISTICAL ANALYSIS; STATISTICAL DISTRIBUTION; STUDENT T TEST; TWIN CONCORDANCE; TWIN DISCORDANCE;

EID: 41249087042     PISSN: 1438793X     EISSN: 14387948     Source Type: Journal    
DOI: 10.1007/s10142-007-0061-8     Document Type: Article
Times cited : (6)

References (10)
  • 1
    • 33751365496 scopus 로고    scopus 로고
    • Robust method for detecting differential gene expression in twin studies
    • Begun A (2006) Robust method for detecting differential gene expression in twin studies. Bioinformatics 22(23):2905-2909
    • (2006) Bioinformatics , vol.22 , Issue.23 , pp. 2905-2909
    • Begun, A.1
  • 2
    • 0003812861 scopus 로고    scopus 로고
    • Microarrays and their use in a comparative experiment
    • Efron B, Tibshirani R, Goss V, Chu G (2000) Microarrays and their use in a comparative experiment. http://www-sta.stanford.edu/∼tibs/ research.html
    • (2000)
    • Efron, B.1    Tibshirani, R.2    Goss, V.3    Chu, G.4
  • 5
    • 0041592555 scopus 로고    scopus 로고
    • On the use of permutation in and the performance of a class of nonparametric methods to detect differential gene expression
    • Pan W (2003) On the use of permutation in and the performance of a class of nonparametric methods to detect differential gene expression. Bioinformatics 19(11):1333-1339
    • (2003) Bioinformatics , vol.19 , Issue.11 , pp. 1333-1339
    • Pan, W.1
  • 6
    • 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, 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
  • 7
    • 4544341015 scopus 로고    scopus 로고
    • Linear models and empirical Bayes methods foe assessing differential expression in microarray experiments
    • Article 3
    • Smyth GK (2004) Linear models and empirical Bayes methods foe assessing differential expression in microarray experiments. Statistical Applications in Genetics and Molecular Biology 3(1) Article 3:1-26
    • (2004) Statistical Applications in Genetics and Molecular Biology , vol.3 , Issue.1 , pp. 1-26
    • Smyth, G.K.1
  • 8
    • 18744369640 scopus 로고    scopus 로고
    • Use of within-array replicate spots for assessing differential expression in microarray experiments
    • Smyth GK, Michaud J, Scott HS (2004) Use of within-array replicate spots for assessing differential expression in microarray experiments. Bioinformatics 21(9):2067-2075
    • (2004) Bioinformatics , vol.21 , Issue.9 , pp. 2067-2075
    • Smyth, G.K.1    Michaud, J.2    Scott, H.S.3
  • 9
    • 33749585336 scopus 로고    scopus 로고
    • Department of Health Research and Policy and Department of Statistics, Stanford University, Stanford, CA 94305
    • Tibshirani R (2005) A simple method for assessing sample sizes in microarray experiments. Department of Health Research and Policy and Department of Statistics, Stanford University, Stanford, CA 94305:1-8
    • (2005) A Simple Method for Assessing Sample Sizes in Microarray Experiments , pp. 1-8
    • Tibshirani, R.1
  • 10
    • 0035942271 scopus 로고    scopus 로고
    • Significance analysis of microarrays applied to the ionizing radiation response
    • Tusher VG, Tibshirani R, Chu G (2001) Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci 98:5116-5121
    • (2001) Proc Natl Acad Sci , vol.98 , pp. 5116-5121
    • Tusher, V.G.1    Tibshirani, R.2    Chu, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.