메뉴 건너뛰기




Volumn 14, Issue 1, 2013, Pages

Unsupervised Bayesian linear unmixing of gene expression microarrays

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL SIGNATURES; GENE EXPRESSION MICROARRAY; GRADIENT BASED ALGORITHM; MATRIX FACTORIZATIONS; NONNEGATIVE MATRIX FACTORIZATION; POSTERIOR DISTRIBUTIONS; RELATIVE CONTRIBUTION; SYNTHETIC AND REAL DATA;

EID: 84875071164     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-99     Document Type: Article
Times cited : (13)

References (26)
  • 1
    • 62549125109 scopus 로고    scopus 로고
    • High-dimensional sparse factor modelling: applications in gene expression genomics
    • 10.1198/016214508000000869, 3017385, 21218139
    • Carvalho CM, Chang J, Lucas JE, Nevins JR, Wang Q, West M. High-dimensional sparse factor modelling: applications in gene expression genomics. J Am Stat Assoc 2008, 103(484):1438-1456. 10.1198/016214508000000869, 3017385, 21218139.
    • (2008) J Am Stat Assoc , vol.103 , Issue.484 , pp. 1438-1456
    • Carvalho, C.M.1    Chang, J.2    Lucas, J.E.3    Nevins, J.R.4    Wang, Q.5    West, M.6
  • 3
    • 78049501828 scopus 로고    scopus 로고
    • Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies
    • 10.1186/1471-2105-11-552, 3098097, 21062443
    • Chen B, Chen M, Paisley J, Zaas A, Woods C, Ginsburg GS, Hero AO, Lucas J, Dunson D, Carin L. Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies. BMC Bioinformatics 2010, 11:552. 10.1186/1471-2105-11-552, 3098097, 21062443.
    • (2010) BMC Bioinformatics , vol.11 , pp. 552
    • Chen, B.1    Chen, M.2    Paisley, J.3    Zaas, A.4    Woods, C.5    Ginsburg, G.S.6    Hero, A.O.7    Lucas, J.8    Dunson, D.9    Carin, L.10
  • 4
    • 0242295767 scopus 로고    scopus 로고
    • Bayesian Factor regression models in the " Large p, Small n" paradigm
    • Oxford University Press
    • West M. Bayesian Factor regression models in the " Large p, Small n" paradigm. Bayesian Statistics 7 2003, 723-732. Oxford University Press.
    • (2003) Bayesian Statistics 7 , pp. 723-732
    • West, M.1
  • 5
    • 0034800371 scopus 로고    scopus 로고
    • Principal component analysis for clustering gene expression data
    • 10.1093/bioinformatics/17.9.763, 11590094
    • Yeung KY, Ruzzo WL. Principal component analysis for clustering gene expression data. Bioinformatics 2001, 17(9):763-774. 10.1093/bioinformatics/17.9.763, 11590094.
    • (2001) Bioinformatics , vol.17 , Issue.9 , pp. 763-774
    • Yeung, K.Y.1    Ruzzo, W.L.2
  • 6
    • 16444373735 scopus 로고    scopus 로고
    • Vertex component analysis: A fast algorithm to unmix hyperspectral data
    • Nascimento JM, Bioucas-Dias JM. Vertex component analysis: A fast algorithm to unmix hyperspectral data. IEEE Trans Geosci Remote Sensing 2005, 43(4):898-910.
    • (2005) IEEE Trans Geosci Remote Sensing , vol.43 , Issue.4 , pp. 898-910
    • Nascimento, J.M.1    Bioucas-Dias, J.M.2
  • 7
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • Lee DD, Seung HS. Algorithms for non-negative matrix factorization. Proc Neural Info Process Syst 2000, 13:556-562.
    • (2000) Proc Neural Info Process Syst , vol.13 , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 8
    • 33845903308 scopus 로고    scopus 로고
    • Inferential, robust non-negative matrix factorization analysis of microarray data
    • 10.1093/bioinformatics/btl550, 17092989
    • Fogel P, Young SS, Hawkins DM, Ledirac N. Inferential, robust non-negative matrix factorization analysis of microarray data. Bioinformatics 2007, 23:44-49. 10.1093/bioinformatics/btl550, 17092989.
    • (2007) Bioinformatics , vol.23 , pp. 44-49
    • Fogel, P.1    Young, S.S.2    Hawkins, D.M.3    Ledirac, N.4
  • 9
    • 0036203115 scopus 로고    scopus 로고
    • A mixture model-based approach to the clustering of microarray expression data
    • 10.1093/bioinformatics/18.3.413, 11934740
    • McLachlan GJ, Bean RW, Peel D. A mixture model-based approach to the clustering of microarray expression data. Bioinformatics 2002, 18(3):413-422. 10.1093/bioinformatics/18.3.413, 11934740.
    • (2002) Bioinformatics , vol.18 , Issue.3 , pp. 413-422
    • McLachlan, G.J.1    Bean, R.W.2    Peel, D.3
  • 10
    • 79954535330 scopus 로고    scopus 로고
    • Mixtures of common t-factor analyzers for clustering high-dimensional microarray data
    • 10.1093/bioinformatics/btr112, 21372081
    • Baek J, McLachlan GJ. Mixtures of common t-factor analyzers for clustering high-dimensional microarray data. Bioinformatics 2011, 27:1269-1276. 10.1093/bioinformatics/btr112, 21372081.
    • (2011) Bioinformatics , vol.27 , pp. 1269-1276
    • Baek, J.1    McLachlan, G.J.2
  • 11
    • 0035999975 scopus 로고    scopus 로고
    • Application of Bayesian decomposition for analysing microarray data
    • 10.1093/bioinformatics/18.4.566, 12016054
    • Moloshok TD, Klevecz RR, Grant JD, Manion FJ, Speier WF, Ochs MF. Application of Bayesian decomposition for analysing microarray data. Bioinformatics 2002, 18:566-575. 10.1093/bioinformatics/18.4.566, 12016054.
    • (2002) Bioinformatics , vol.18 , pp. 566-575
    • Moloshok, T.D.1    Klevecz, R.R.2    Grant, J.D.3    Manion, F.J.4    Speier, W.F.5    Ochs, M.F.6
  • 12
    • 77958479692 scopus 로고    scopus 로고
    • CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data
    • 10.1093/bioinformatics/btq503, 3025742, 20810601
    • Fertig EJ, Ding J, Favorov AV, Parmigiani G, Ochs MF. CoGAPS: an R/C++ package to identify patterns and biological process activity in transcriptomic data. Bioinformatics 2010, 26:2792-2793. 10.1093/bioinformatics/btq503, 3025742, 20810601.
    • (2010) Bioinformatics , vol.26 , pp. 2792-2793
    • Fertig, E.J.1    Ding, J.2    Favorov, A.V.3    Parmigiani, G.4    Ochs, M.F.5
  • 16
    • 29144442380 scopus 로고    scopus 로고
    • Multi-way clustering of microarray data using probabilistic sparse matrix factorization
    • 10.1093/bioinformatics/bth498, 15333460
    • Dueck D, Morris QD, Frey BJ. Multi-way clustering of microarray data using probabilistic sparse matrix factorization. Bioinformatics 2005, 21:144-151. 10.1093/bioinformatics/bth498, 15333460.
    • (2005) Bioinformatics , vol.21 , pp. 144-151
    • Dueck, D.1    Morris, Q.D.2    Frey, B.J.3
  • 19
    • 0033310314 scopus 로고    scopus 로고
    • N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data
    • Winter ME. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data. Imaging Spectrometry V Proc SPIE 3753 1999, 266-275.
    • (1999) Imaging Spectrometry V Proc SPIE 3753 , pp. 266-275
    • Winter, M.E.1
  • 21
    • 77956889087 scopus 로고
    • Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
    • Green PJ. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 1995, 82(4):711-732.
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.J.1
  • 22
    • 84879106244 scopus 로고    scopus 로고
    • BFRM Software: bayesian factor regression modelling
    • BFRM Software: bayesian factor regression modelling. [http://www.stat.duke.edu/research/software/west/bfrm/download.html].
  • 26
    • 46749145829 scopus 로고    scopus 로고
    • Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery
    • Dobigeon N, Tourneret JY, Chang CI. Semi-supervised linear spectral unmixing using a hierarchical Bayesian model for hyperspectral imagery. IEEE Trans Signal Process 2008, 56(7):2684-2695.
    • (2008) IEEE Trans Signal Process , vol.56 , Issue.7 , pp. 2684-2695
    • Dobigeon, N.1    Tourneret, J.Y.2    Chang, C.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.