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Volumn 27, Issue 2, 2006, Pages 116-122

Regulation probability method for gene selection

Author keywords

Conditional probability; DNA microarray dataset; Gene regulation probability; Gene selection; Probability estimation

Indexed keywords

DATABASE SYSTEMS; DNA; INFORMATION RETRIEVAL; PROBABILITY;

EID: 27844453331     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.07.007     Document Type: Article
Times cited : (32)

References (12)
  • 1
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
    • U. Alon, N. Barkai, D.A. Notterman, K. Gish, S. Ybarra, D. Mack, and A.J. Levine Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays Proc. Natl. Acad. Sci. USA 96 1999 6745 6750
    • (1999) Proc. Natl. Acad. Sci. USA , vol.96 , pp. 6745-6750
    • Alon, U.1    Barkai, N.2    Notterman, D.A.3    Gish, K.4    Ybarra, S.5    Mack, D.6    Levine, A.J.7
  • 2
    • 0034948896 scopus 로고    scopus 로고
    • A Bayesian framework for the analysis of microarray expression data: Regularized t-test and statistical inferences of gene changes
    • P. Baldic, and A.D. Long A Bayesian framework for the analysis of microarray expression data: Regularized t-test and statistical inferences of gene changes Bioinformatics 17 2001 509 519
    • (2001) Bioinformatics , vol.17 , pp. 509-519
    • Baldic, P.1    Long, A.D.2
  • 3
    • 0003499479 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit, S., Fridlyand, J., Speed, T., 2000. Comparison of discrimination methods for the classification of tumors using gene expression data. Technical Report 576. Available from: < http://www.stat.berkeley.edu/sandrine/tecrep/ 576.pdf >.
    • (2000) Technical Report , vol.576
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.3
  • 4
  • 6
    • 0034568109 scopus 로고    scopus 로고
    • Gene shaving as a method for identifying distinct sets of genes with similar expression patterns
    • T. Hastie, R. Tibshirani, and M.B. Eisen Gene shaving as a method for identifying distinct sets of genes with similar expression patterns Genome Biol. 1 2 2000 research0003.1-0003.21
    • (2000) Genome Biol. , vol.1 , Issue.2
    • Hastie, T.1    Tibshirani, R.2    Eisen, M.B.3
  • 8
    • 0034923013 scopus 로고    scopus 로고
    • On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
    • M.A. Newton, C.M. Kendziorski, C.S. Richmond, F.R. Blattner, and K.W. Tsui On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data Comput. Biol. 8 1 2001 37 52
    • (2001) Comput. Biol. , vol.8 , Issue.1 , pp. 37-52
    • Newton, M.A.1    Kendziorski, C.M.2    Richmond, C.S.3    Blattner, F.R.4    Tsui, K.W.5
  • 10
    • 10244252786 scopus 로고    scopus 로고
    • Systematic benchmarking of microarray data classification: Assessing the role of non-linearity and dimensionality reduction
    • N. Pochet, F.D. Smet, J.A. Suykens, and B.D. Moor Systematic benchmarking of microarray data classification: Assessing the role of non-linearity and dimensionality reduction Bioinformatics 20 2004 3185 3195
    • (2004) Bioinformatics , vol.20 , pp. 3185-3195
    • Pochet, N.1    Smet, F.D.2    Suykens, J.A.3    Moor, B.D.4
  • 12
    • 0004143864 scopus 로고    scopus 로고
    • Bayesian regression analysis in the large p, small n paradigm with application in DNA microarray studies
    • Duke University
    • West, M., Nevins, J.R., Marks, J.R., Spang, R., Zuzan, H., 2000. Bayesian regression analysis in the large p, small n paradigm with application in DNA microarray studies. Technical Report. Duke University.
    • (2000) Technical Report
    • West, M.1    Nevins, J.R.2    Marks, J.R.3    Spang, R.4    Zuzan, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.