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Volumn 50, Issue 2, 2006, Pages 518-532

Identifying differentially expressed genes in unreplicated multiple-treatment microarray timecourse experiments

Author keywords

Differentially expressed genes; Microarrays; Unreplicated data

Indexed keywords

APPROXIMATION THEORY; ARRAYS; ESTIMATION; MATHEMATICAL MODELS; METABOLISM; STATISTICAL METHODS;

EID: 24944506700     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2004.09.004     Document Type: Article
Times cited : (5)

References (11)
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    • Pan, W.1
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    • Statistical tests for identifying differentially expressed genes in time-course microarray experiments
    • T. Park, S. Yi, S. Lee, S.Y. Lee, D. Yoo, J. Ahn, and Y. Lee Statistical tests for identifying differentially expressed genes in time-course microarray experiments Bioinfomatics 19 2003 694 703
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    • S.D. Peddada, E.K. Lobenhofer, L. Li, C.A. Afshari, C.R. Weinberg, and D.M. Umbach Gene selection and clustering for time-course and dose-response microarray experiments using order-restricted inference Bioinformatics 19 2003 834 841
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    • Rossini, A.J., Tierney, L., Li, N., 2003. Simple parallel statistical computing in R. University of Washington Biostatistics Working Paper Series. Working Paper 193. http://www.bepress.com/uwbiostat/paper193.
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    • Rossini, A.J.1    Tierney, L.2    Li, N.3
  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.