메뉴 건너뛰기




Volumn 90, Issue 1 SPEC. ISS., 2004, Pages 132-153

Hidden Markov models approach to the analysis of array CGH data

Author keywords

Array CGH; Cancer; Chromosomal aberrations; Genomic profile; HMM; MMR; Mutation

Indexed keywords


EID: 9244229940     PISSN: 0047259X     EISSN: 10957243     Source Type: Journal    
DOI: 10.1016/j.jmva.2004.02.008     Document Type: Article
Times cited : (278)

References (21)
  • 1
    • 84942737910 scopus 로고
    • Fitting autoregressive models for prediction
    • Kluwer Academic Publishers, Dordrecht
    • H. Akaike, Fitting autoregressive models for prediction, in: Annals of the Institute of Statistical Mathematics, Kluwer Academic Publishers, Dordrecht, 1969, pp. 243-247.
    • (1969) Annals of the Institute of Statistical Mathematics , pp. 243-247
    • Akaike, H.1
  • 2
    • 0037738895 scopus 로고    scopus 로고
    • Profiling breast cancer by array CGH
    • D.G. Albertson, Profiling breast cancer by array CGH, Breast Cancer Res. Treat. 78 (2003) 289-298.
    • (2003) Breast Cancer Res. Treat. , vol.78 , pp. 289-298
    • Albertson, D.G.1
  • 3
    • 0141994858 scopus 로고    scopus 로고
    • Genomic microarrays in human genetic disease and cancer
    • D.G. Albertson, D. Pinkel, Genomic microarrays in human genetic disease and cancer, Hum. Mol. Genet. 12 (2003) 145-152.
    • (2003) Hum. Mol. Genet. , vol.12 , pp. 145-152
    • Albertson, D.G.1    Pinkel, D.2
  • 7
    • 0038208175 scopus 로고    scopus 로고
    • Comparative study of primary and recurrent ovarian serous carcinomas: Comparative genomic hybridization analysis with a potential application for prognosis
    • J. Hu, V. Khanna, M.W. Jones, U. Surti, Comparative study of primary and recurrent ovarian serous carcinomas: comparative genomic hybridization analysis with a potential application for prognosis, Gynecol. Oncol. 89 (3) (2003) 369-375.
    • (2003) Gynecol. Oncol. , vol.89 , Issue.3 , pp. 369-375
    • Hu, J.1    Khanna, V.2    Jones, M.W.3    Surti, U.4
  • 15
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • February
    • L.R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition, in: Proceedings of the IEEE, Vol. 77, February 1989, pp. 257-285.
    • (1989) Proceedings of the IEEE , vol.77 , pp. 257-285
    • Rabiner, L.R.1
  • 16
    • 4944252468 scopus 로고    scopus 로고
    • Using hidden Markov models to analyze gene expression time course data
    • A. Schliep, A. Schonhuth, C. Steinhoff, Using hidden Markov models to analyze gene expression time course data, Bioinformatics 19 (2003) 255-263.
    • (2003) Bioinformatics , vol.19 , pp. 255-263
    • Schliep, A.1    Schonhuth, A.2    Steinhoff, C.3
  • 17
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz, G., Estimating the dimension of a model, Ann. Statist. (1978) 461-464.
    • (1978) Ann. Statist. , pp. 461-464
    • Schwarz, G.1
  • 21
    • 1342294092 scopus 로고    scopus 로고
    • Normalization for CDNA microarray data : A robust composite method addressing single and multiple slide systematic variation
    • Y.H. Yang, S. Dudoit, P. Luu, D.M. Lin, V. Peng, J. Ngai, T.P. Speed, Normalization for CDNA microarray data : a robust composite method addressing single and multiple slide systematic variation Nucleic Acids Res. 30 (2002) e15.
    • (2002) Nucleic Acids Res. , vol.30
    • Yang, Y.H.1    Dudoit, S.2    Luu, P.3    Lin, D.M.4    Peng, V.5    Ngai, J.6    Speed, T.P.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.