메뉴 건너뛰기




Volumn 3692 LNBI, Issue , 2005, Pages 39-52

A linear time biclustering algorithm for time series gene expression data

Author keywords

[No Author keywords available]

Indexed keywords

ARRAYS; DATA REDUCTION; HEURISTIC METHODS; PROBLEM SOLVING; PROCESSING;

EID: 33646191891     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11557067_4     Document Type: Conference Paper
Times cited : (36)

References (18)
  • 4
    • 14644416505 scopus 로고    scopus 로고
    • Identifying time-lagged gene clusters using gene expression data
    • L. Ji and K. Tan. Identifying time-lagged gene clusters using gene expression data. Bioinformatics, 21(4):509-516, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.4 , pp. 509-516
    • Ji, L.1    Tan, K.2
  • 8
    • 0037339264 scopus 로고    scopus 로고
    • Clustering of time-course gene expression data using a mixed-effects model with b-splines
    • Y. Luan and H. Li. Clustering of time-course gene expression data using a mixed-effects model with b-splines. Bioinformatics, 19(4):474-482, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.4 , pp. 474-482
    • Luan, Y.1    Li, H.2
  • 10
    • 20444365683 scopus 로고    scopus 로고
    • Gotoolbox: Functional investigation of gene datasets based on gene ontology
    • D. Martin, C. Brun, E. Remy, P. Mouren, D. Thieffry, and B. Jacq. Gotoolbox: functional investigation of gene datasets based on gene ontology. Genome Biology, 5(12):R101, 2004.
    • (2004) Genome Biology , vol.5 , Issue.12
    • Martin, D.1    Brun, C.2    Remy, E.3    Mouren, P.4    Thieffry, D.5    Jacq, B.6
  • 13
    • 0041627879 scopus 로고    scopus 로고
    • Extracting conserved gene expression motifs from gene expression data
    • T. M. Murali and S. Kasif. Extracting conserved gene expression motifs from gene expression data. In Proc. of the Pacific Symposium on Biocomputing, volume 8, pages 77-88, 2003.
    • (2003) Proc. of the Pacific Symposium on Biocomputing , vol.8 , pp. 77-88
    • Murali, T.M.1    Kasif, S.2
  • 14
    • 0141998079 scopus 로고    scopus 로고
    • The maximum edge biclique problem is NP-complete
    • R. Peeters. The maximum edge biclique problem is NP-complete. Discrete Applied Mathematics, 131(3):651-654, 2003.
    • (2003) Discrete Applied Mathematics , vol.131 , Issue.3 , pp. 651-654
    • Peeters, R.1
  • 15
    • 4444367133 scopus 로고    scopus 로고
    • Biclustering microarray data by Gibbs sampling
    • Q. Sheng, Y. Moreau, and B. De Moor. Biclustering microarray data by Gibbs sampling. In Bioinformatics, volume 19 (Suppl. 2), pages 196-205, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.2 SUPPL. , pp. 196-205
    • Sheng, Q.1    Moreau, Y.2    De Moor, B.3
  • 16
    • 11244306358 scopus 로고    scopus 로고
    • Discovering statistically significant biclusters in gene expression data
    • A. Tanay, R. Sharan, and R. Shamir. Discovering statistically significant biclusters in gene expression data. In Bioinformatics, volume 18 (Suppl. 1), pages S136-S144, 2002.
    • (2002) Bioinformatics , vol.18 , Issue.1 SUPPL.
    • Tanay, A.1    Sharan, R.2    Shamir, R.3
  • 18
    • 0001704377 scopus 로고
    • On-line construction of suffix trees
    • E. Ukkonen. On-line construction of suffix trees. Algorithmica, 14:249-260, 1995.
    • (1995) Algorithmica , vol.14 , pp. 249-260
    • Ukkonen, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.