메뉴 건너뛰기




Volumn , Issue , 2012, Pages 371-378

A new Kernel non-negative matrix factorization and its application in microarray data analysis

Author keywords

Classification; Feature Extraction; Kernel Non Negative Matrix Factorization; Microarray Data

Indexed keywords

DISCRIMINATIVE FEATURES; FEATURE EXTRACTION AND CLASSIFICATION; HIGH-ORDER; KERNEL APPROACHES; KERNEL FUNCTION; MACHINE LEARNING METHODS; MICROARRAY DATA; MICROARRAY DATA ANALYSIS; MICROARRAY DATA SETS; NON-NEGATIVE FACTORIZATION; NONNEGATIVE MATRIX FACTORIZATION;

EID: 84864069021     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2012.6217254     Document Type: Conference Paper
Times cited : (25)

References (31)
  • 1
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • D.D. Lee and S. Seung, "Learning the parts of objects by non-negative matrix factorization," Nature, vol. 401, pp. 788-791, 1999.
    • (1999) Nature , vol.401 , pp. 788-791
    • Lee, D.D.1    Seung, S.2
  • 3
    • 67349093319 scopus 로고    scopus 로고
    • Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method
    • H. Kim and H. Park, "Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method," SIAM Journal on Matrix Analysis and Applications, vol. 30, no. 2, pp. 713-730, 2008.
    • (2008) SIAM Journal on Matrix Analysis and Applications , vol.30 , Issue.2 , pp. 713-730
    • Kim, H.1    Park, H.2
  • 4
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • P.O. Hoyer, "Non-negative matrix factorization with sparseness constraints," Journal Machine Learning Research, vol. 5, pp. 1457-1469, 2004.
    • (2004) Journal Machine Learning Research , vol.5 , pp. 1457-1469
    • Hoyer, P.O.1
  • 6
    • 33749575326 scopus 로고    scopus 로고
    • Orthogonal nonnegative matrix tri-factorizations for clustering
    • C. Ding, T. Li, W. Peng, and H. Park, "Orthogonal nonnegative matrix tri-factorizations for clustering," KDD, pp. 126-135, 2006.
    • (2006) KDD , pp. 126-135
    • Ding, C.1    Li, T.2    Peng, W.3    Park, H.4
  • 7
    • 0041339710 scopus 로고    scopus 로고
    • Introducing a weighted non-negative matrix factorization for image classification
    • D. Guillamet, J. Vitrià, B. Schiele, "Introducing a weighted non-negative matrix factorization for image classification," Pattern Recognition Letters, vol. 24, 24472454, 2003.
    • (2003) Pattern Recognition Letters , vol.24 , pp. 24472454
    • Guillamet, D.1    Vitrià, J.2    Schiele, B.3
  • 8
    • 1642529511 scopus 로고    scopus 로고
    • Metagenes and molecular pattern discovery using matrix factorization
    • J.P. Brunet, P. Tamayo, T.R. Golub, and J.P. Mesirov, "Metagenes and molecular pattern discovery using matrix factorization," PNAS, vol. 101, no. 12, pp. 4164-4169, 2004
    • (2004) PNAS , vol.101 , Issue.12 , pp. 4164-4169
    • Brunet, J.P.1    Tamayo, P.2    Golub, T.R.3    Mesirov, J.P.4
  • 10
    • 79952383578 scopus 로고    scopus 로고
    • Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data
    • T. Park, et. al. (eds.). Hong Kong, New York: IEEE Press
    • Y. Li and A. Ngom, "Non-negative matrix and tensor factorization based classification of clinical microarray gene expression data," In T. Park, et. al. (eds.) BIBM pp. 438-443. Hong Kong, New York: IEEE Press.
    • BIBM , pp. 438-443
    • Li, Y.1    Ngom, A.2
  • 11
    • 84868701655 scopus 로고    scopus 로고
    • Classification approach based on nonnegative least squares
    • School of Computer Science, March 2012
    • Y. Li and A. Ngom, "Classification approach based on nonnegative least squares," School of Computer Science, University of Windsor, Technical Report, No. 12-010, March 2012. Available at: http://cs.uwindsor.ca/ ~li11112c/doc/Report12-010,Li2012.pdf
    • University of Windsor, Technical Report, 12-010
    • Li, Y.1    Ngom, A.2
  • 12
    • 48249100881 scopus 로고    scopus 로고
    • Algorithms for sparse nonnegative tucker decompositions
    • M. Mørup, L.K. Hansen, and S.M. Arnfred, "Algorithms for sparse nonnegative tucker decompositions," Neural Computation, vol. 20, no. 8, pp. 2112-2131, 2008.
    • (2008) Neural Computation , vol.20 , Issue.8 , pp. 2112-2131
    • Mørup, M.1    Hansen, L.K.2    Arnfred, S.M.3
  • 14
    • 68649096448 scopus 로고    scopus 로고
    • Tensor decompositions and applications
    • T.G. Kolda and B.W. Bader, "Tensor decompositions and applications," SIAM Review, vol. 51, no. 3, pp. 455-500, 2009.
    • (2009) SIAM Review , vol.51 , Issue.3 , pp. 455-500
    • Kolda, T.G.1    Bader, B.W.2
  • 15
    • 84864038372 scopus 로고    scopus 로고
    • Non-negative matrix factorization classifier
    • Manuscript ID: TCBB-2011-05-0130, submitted on May 24
    • Y. Li, "Non-negative matrix factorization classifier," IEEE Transactions on Computational Biology and Bioinformatics, Manuscript ID: TCBB-2011-05-0130, submitted on May 24, 2011. Available at: http://cs.uwindsor. ca/~li11112c/doc/tcbb.pdf
    • (2011) IEEE Transactions on Computational Biology and Bioinformatics
    • Li, Y.1
  • 16
    • 80051675637 scopus 로고    scopus 로고
    • Classification of clinical gene-sample-time microarray expression data via tensor decomposition methods
    • Y. Li and A. Ngom. "Classification of clinical gene-sample-time microarray expression data via tensor decomposition methods," LNBI/LNCS, vol. 6685, pp. 275-286, 2011.
    • (2011) LNBI/LNCS , vol.6685 , pp. 275-286
    • Li, Y.1    Ngom, A.2
  • 17
    • 33749546310 scopus 로고    scopus 로고
    • Non-negative matrix factorization on kernels
    • D. Zhang, Z. Zhou, and S. Chen, "Non-negative matrix factorization on kernels," LNCS, vol. 4099, pp. 404-412, 2006.
    • (2006) LNCS , vol.4099 , pp. 404-412
    • Zhang, D.1    Zhou, Z.2    Chen, S.3
  • 18
    • 24944500827 scopus 로고    scopus 로고
    • Fast algorithm for the solution of large-scale non-negaive constrained least squares problems
    • M.H. Van Benthem and M.R. Keenan, "Fast algorithm for the solution of large-scale non-negaive constrained least squares problems," Journal of Chemometrics, vol. 18, pp. 441-450, 2004.
    • (2004) Journal of Chemometrics , vol.18 , pp. 441-450
    • Van Benthem, M.H.1    Keenan, M.R.2
  • 20
    • 0035300437 scopus 로고    scopus 로고
    • Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays
    • D.A. Notterman, U. Alon, A.J. Sierk, and A.J. Levine, "Transcriptional gene expression profiles of colorectal adenoma, adenocarcinoma, and normal tissue examined by oligonucleotide arrays," Cancer Research, vol. 61, pp. 3124-3130, 2001.
    • (2001) Cancer Research , vol.61 , pp. 3124-3130
    • Notterman, D.A.1    Alon, U.2    Sierk, A.J.3    Levine, A.J.4
  • 21
    • 18244409687 scopus 로고    scopus 로고
    • Gene expression profiling predicts clinical outcome of breast cancer
    • L.J. Van't Veer, et al., "Gene expression profiling predicts clinical outcome of breast cancer," Nature, vol. 415, no. 6871, pp. 530-536, 2002.
    • (2002) Nature , vol.415 , Issue.6871 , pp. 530-536
    • Van't Veer, L.J.1
  • 22
    • 0033536012 scopus 로고    scopus 로고
    • Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays
    • U. Alon, et al., "Broad patterns of gene expression revealed by clustering of tumor and normal colon tissues probed by oligonucleotide arrays," PNAS, vol. 96, no. 12, pp. 6745-6750, 1999.
    • (1999) PNAS , vol.96 , Issue.12 , pp. 6745-6750
    • Alon, U.1
  • 23
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classication of cancer: Class discovery and class prediction by gene expression monitoring
    • T.R. Golub, et al., "Molecular classication of cancer: class discovery and class prediction by gene expression monitoring," Science, vol. 286, no. 15, pp. 531-537, 1999.
    • (1999) Science , vol.286 , Issue.15 , pp. 531-537
    • Golub, T.R.1
  • 24
    • 19044399684 scopus 로고    scopus 로고
    • Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling
    • E.J. Yeoh, et al., "Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling," Cancer Cell, vol. 1, pp. 133-143, 2002.
    • (2002) Cancer Cell , vol.1 , pp. 133-143
    • Yeoh, E.J.1
  • 25
    • 33646874546 scopus 로고    scopus 로고
    • The molecular portraits of breast tumors are conserved across microarray platforms
    • doi:10.1186/1471-2164-7-96
    • Z. Hu, et al., "The molecular portraits of breast tumors are conserved across microarray platforms," BMC Genomics, vol. 7, doi:10.1186/1471-2164-7-96, 2006.
    • (2006) BMC Genomics , vol.7
    • Hu, Z.1
  • 26
    • 18544375333 scopus 로고    scopus 로고
    • MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia
    • S.A. Armstrong, et al., "MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia," Nature Genetics, vol. 30, pp. 41-47, 2002.
    • (2002) Nature Genetics , vol.30 , pp. 41-47
    • Armstrong, S.A.1
  • 27
    • 0034954414 scopus 로고    scopus 로고
    • Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
    • J. Khan, et al., "Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks," Nature Medicine, vol. 7, no. 6, pp. 673-679, 2001.
    • (2001) Nature Medicine , vol.7 , Issue.6 , pp. 673-679
    • Khan, J.1
  • 28
    • 20044373640 scopus 로고    scopus 로고
    • Transcription-based prediction of response to INFβ using supervised computational methods
    • P. Mousavi J. Rio S.J. Caillier A. Stillman and P. Villoslada
    • S.E. Baranzini, et al., P. Mousavi, J. Rio, S.J. Caillier, A. Stillman, and P. Villoslada, "Transcription-based prediction of response to INFβ using supervised computational methods," PLOS Biology, vol. 3, no. 1, pp. e2, 2005.
    • (2005) PLOS Biology , vol.3 , Issue.1
    • Baranzini, S.E.1
  • 31
    • 84864043545 scopus 로고    scopus 로고
    • The non-negative matrix factorization MATLAB toolbox for high dimensional biological data
    • School of Computer Science, May
    • Y. Li and A. Ngom,"The non-negative matrix factorization MATLAB toolbox for high dimensional biological data," School of Computer Science, University of Windsor, Technical Report, No. 11-060, May, 2011. Available at http://cs.uwindsor.ca/~li11112c/nmf
    • (2011) University of Windsor, Technical Report, 11-060
    • Li, Y.1    Ngom, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.