메뉴 건너뛰기




Volumn , Issue , 2007, Pages 294-299

Sparse nonnegative matrix factorization with genetic algorithms for microarray analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOACTIVITY; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; FACTORIZATION; FUNCTION EVALUATION; GENE EXPRESSION; GENETIC ALGORITHMS; LIGHT MEASUREMENT; MATRIX ALGEBRA;

EID: 51749107029     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2007.4370971     Document Type: Conference Paper
Times cited : (14)

References (18)
  • 3
    • 12844264782 scopus 로고    scopus 로고
    • Blind source separation and the analysis of microarray data
    • P. Chiapetta, M. C. Roubaud, and B. Torrésani. Blind source separation and the analysis of microarray data. J. Comp. Biology, 11:1090-1109, 2004.
    • (2004) J. Comp. Biology , vol.11 , pp. 1090-1109
    • Chiapetta, P.1    Roubaud, M.C.2    Torrésani, B.3
  • 6
    • 0034069495 scopus 로고    scopus 로고
    • Gene ontologie: Tool for the unification of biology
    • The Gene Onkology Consortium
    • The Gene Onkology Consortium. Gene ontologie: Tool for the unification of biology. Nature Genetics, 25:25-29, 2000.
    • (2000) Nature Genetics , vol.25 , pp. 25-29
  • 7
    • 0034887203 scopus 로고    scopus 로고
    • Creating the gene ontology resource: Design and implementation
    • The Gene Onkology Consortium
    • The Gene Onkology Consortium. Creating the gene ontology resource: design and implementation. Genome Research, 11:1425-1433, 2001.
    • (2001) Genome Research , vol.11 , pp. 1425-1433
  • 8
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • P. O. Hoyer. Non-negative matrix factorization with sparseness constraints. J. Machine Learning Research, 5:1457-1469, 2004.
    • (2004) J. Machine Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1
  • 9
    • 51749114943 scopus 로고    scopus 로고
    • http://www.mpi-forum.org/docs/mpi-20-html/mpi2 report.html. MPI-2: Extensions to the Message-Passing Interface. www.mpi-forum.org.
    • http://www.mpi-forum.org/docs/mpi-20-html/mpi2 report.html. MPI-2: Extensions to the Message-Passing Interface. www.mpi-forum.org.
  • 11
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D. D. Lee and H. S. Seung. Learning the parts of objects by non-negative matrix factorization. Nature, 401:788-791, 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, H.S.2
  • 12
    • 1542473171 scopus 로고    scopus 로고
    • Application of independent component analysis to microarrays
    • Su-In Lee and S. Batzoglou. Application of independent component analysis to microarrays. Genome Biology, 4:R76.1-R76.21, 2003.
    • (2003) Genome Biology , vol.4
    • Lee, S.-I.1    Batzoglou, S.2
  • 16
    • 0035375137 scopus 로고    scopus 로고
    • Computational analysis of microarray data
    • J. Quackenbush. Computational analysis of microarray data. Nature, 2:418-427, 2001.
    • (2001) Nature , vol.2 , pp. 418-427
    • Quackenbush, J.1
  • 17
    • 4444229045 scopus 로고    scopus 로고
    • S. A: Saidi, C. M. Holland, D. P. Kreil, D. J. C. MacKay, D. S. Charnock-Jones, C. G. Print, and S. K. Smith. Independent component analysis for gene arrays. Oncogene, 23:6677-6683, 2004.
    • S. A: Saidi, C. M. Holland, D. P. Kreil, D. J. C. MacKay, D. S. Charnock-Jones, C. G. Print, and S. K. Smith. Independent component analysis for gene arrays. Oncogene, 23:6677-6683, 2004.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.