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Volumn 14, Issue 1, 2013, Pages 87-98

Classification of patients from time-course gene expression

Author keywords

Classification; Gene expression; Longitudinal; Time course

Indexed keywords

BETA INTERFERON;

EID: 84871203254     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxs027     Document Type: Article
Times cited : (14)

References (15)
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    • Identifying differentially expressed genes in time course microarray data
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    • Ma, P.1    Zhong, W.2    Liu, J.S.3
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    • A multivariate empirical bayes statistic for replicated microarray time course data
    • TAI, Y. C. AND SPEED, T. (2006). A multivariate empirical bayes statistic for replicated microarray time course data. Annals of Statistics 34, 2387-2412.
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    • Tai, Y.C.1    Speed, T.2
  • 11
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    • Hidden markov models for microarray time course data under multiple biological conditions (with discussion
    • YUAN, M. AND KENDZIORSKI, C. (2006). Hidden markov models for microarray time course data under multiple biological conditions (with discussion). Journal of the American Statistical Association 101, 1323-1340.
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    • Yuan, M.1    Kendziorski, C.2
  • 12
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    • Partial mixture model for tight clustering of gene expression time-course
    • YUAN, Y., LI, C. T. AND WILSON, R. (2008). Partial mixture model for tight clustering of gene expression time-course. BMC Bioinformatics 9, 287.
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    • Yuan, Y.1    C, T.L.I.2    Wilson, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.