-
1
-
-
0028561099
-
Positive matrix factorization: A nonnegative factor model with optimal utilization of error estimates of data values
-
P. Paatero and U. Tapper, "Positive matrix factorization: A nonnegative factor model with optimal utilization of error estimates of data values, " Environmetrics, vol. 5, pp. 111-126, 1994.
-
(1994)
Environmetrics
, vol.5
, pp. 111-126
-
-
Paatero, P.1
Tapper, U.2
-
2
-
-
0033592606
-
Learning the parts of objects with nonnegative matrix factorization
-
D. D. Lee and H. S. Seung, "Learning the parts of objects with nonnegative matrix factorization, " Nature, vol. 401, pp. 788-791, 1999.
-
(1999)
Nature
, vol.401
, pp. 788-791
-
-
Lee, D.D.1
Seung, H.S.2
-
3
-
-
84989525001
-
Indexing by latent semantic analysis
-
S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman, "Indexing by latent semantic analysis, " J. Amer. Soc. Inf. Sci., vol. 41, no. 6, pp. 391-407, 1990.
-
(1990)
J. Amer. Soc. Inf. Sci.
, vol.41
, Issue.6
, pp. 391-407
-
-
Deerwester, S.1
Dumais, S.T.2
Furnas, G.W.3
Landauer, T.K.4
Harshman, R.5
-
4
-
-
23044534893
-
Non-negative matrix factorization for face recognition
-
New York, NY, USA: Springer
-
D. Guillamet and J. Vitri-a, "Non-negative matrix factorization for face recognition, " in Topics in Artificial Intelligence, ser. Lecture Notes in Computer Science, vol. 2504. New York, NY, USA: Springer, 2002, pp. 336-344.
-
(2002)
Topics in Artificial Intelligence, Ser. Lecture Notes in Computer Science
, vol.2504
, pp. 336-344
-
-
Guillamet, D.1
Vitri-a, J.2
-
5
-
-
63249085556
-
Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis
-
C. Fevotte, N. Bertin, and J.-L. Durrieu, "Nonnegative matrix factorization with the Itakura-Saito divergence: With application to music analysis, " Neural Comput., vol. 21, no. 3, pp. 793-830, 2009.
-
(2009)
Neural Comput.
, vol.21
, Issue.3
, pp. 793-830
-
-
Fevotte, C.1
Bertin, N.2
Durrieu, J.-L.3
-
6
-
-
77956538800
-
Bayesian nonparametric matrix factorization for recorded music
-
M. Hoffman, D. Blei, and P. Cook, "Bayesian nonparametric matrix factorization for recorded music, " in Proc. Int. Conf. Mach. Learn., 2010, pp. 439-446.
-
(2010)
Proc. Int. Conf. Mach. Learn.
, pp. 439-446
-
-
Hoffman, M.1
Blei, D.2
Cook, P.3
-
7
-
-
80051594038
-
Algorithms for nonnegative matrix factorization with the beta-divergence
-
Sep.
-
C. Fevotte and J. Idier, "Algorithms for nonnegative matrix factorization with the beta-divergence, " Neural Comput., vol. 23, no. 9, pp. 2421-2456, Sep. 2011.
-
(2011)
Neural Comput.
, vol.23
, Issue.9
, pp. 2421-2456
-
-
Fevotte, C.1
Idier, J.2
-
8
-
-
80051648988
-
An adaptive time-frequency resolution approach for non-negative matrix factorization based single channel sound source separation
-
S. Kirbiz and P. Smaragdis, "An adaptive time-frequency resolution approach for non-negative matrix factorization based single channel sound source separation, " in Proc. IEEE Int. Conf. Acoust., Speech Signal Process., 2011, pp. 253-256.
-
(2011)
Proc. IEEE Int. Conf. Acoust., Speech Signal Process.
, pp. 253-256
-
-
Kirbiz, S.1
Smaragdis, P.2
-
9
-
-
51449092704
-
Speech denoising using nonnegative matrix factorization with priors
-
K. W. Wilson, B. Raj, P. Smaragdis, and A. Divakaran, "Speech denoising using nonnegative matrix factorization with priors, " in Proc. IEEE Int. Conf. Acoust., Speech Signal Process., 2008, pp. 4029-4032.
-
(2008)
Proc. IEEE Int. Conf. Acoust., Speech Signal Process
, pp. 4029-4032
-
-
Wilson, K.W.1
Raj, B.2
Smaragdis, P.3
Divakaran, A.4
-
10
-
-
84867198451
-
Regularized nonnegative matrix factorization with temporal dependencies for speech denoising
-
K. W. Wilson, B. Raj, and P. Smaragdis, "Regularized nonnegative matrix factorization with temporal dependencies for speech denoising, " in Proc. Interspeech Int. Conf. Spoken Lang. Process., 2008, pp. 411-414.
-
(2008)
Proc. Interspeech Int. Conf. Spoken Lang. Process
, pp. 411-414
-
-
Wilson, K.W.1
Raj, B.2
Smaragdis, P.3
-
11
-
-
56449131205
-
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
-
R. Salakhutdinov and A. Mnih, "Bayesian probabilistic matrix factorization using Markov chain Monte Carlo, " in Proc. Int. Conf. Mach. Learn., 2008, pp. 880-887.
-
(2008)
Proc. Int. Conf. Mach. Learn
, pp. 880-887
-
-
Salakhutdinov, R.1
Mnih, A.2
-
13
-
-
54249102720
-
Principal component analysis for sparse high-dimensional data
-
M. Ishikawa, K. Doya, H. Miyamoto, and T. Yamakawa, Eds, Berlin, Germany: Springer-Verlag
-
T. Raiko, A. Ilin, and J. Karhunen, "Principal component analysis for sparse high-dimensional data, " in Neural Information Processing, M. Ishikawa, K. Doya, H. Miyamoto, and T. Yamakawa, Eds, Berlin, Germany: Springer-Verlag, 2008, pp. 566-575.
-
(2008)
Neural Information Processing
, pp. 566-575
-
-
Raiko, T.1
Ilin, A.2
Karhunen, J.3
-
14
-
-
84859766908
-
A hierarchical model for ordinal matrix factorization
-
U. Paquet, B. Thomson, and O. Winther, " A hierarchical model for ordinal matrix factorization, " Statist. Comput., vol. 22, no. 4, pp. 945-957, 2012.
-
(2012)
Statist. Comput.
, vol.22
, Issue.4
, pp. 945-957
-
-
Paquet, U.1
Thomson, B.2
Winther, O.3
-
15
-
-
84898964201
-
Algorithms for non-negative matrix factorization
-
D. D. Lee and H. S. Seung, "Algorithms for non-negative matrix factorization, " in Proc. Adv. Neural Inf. Process. Syst. 13, 2001, pp. 556-562.
-
(2001)
Proc. Adv. Neural Inf. Process. Syst.
, vol.13
, pp. 556-562
-
-
Lee, D.D.1
Seung, H.S.2
-
16
-
-
84900510076
-
Non-negative matrix factorization with sparseness constraints
-
Dec
-
P. O. Hoyer, "Non-negative matrix factorization with sparseness constraints, " J. Mach. Learn. Res., vol. 5, pp. 1457-1469, Dec. 2004.
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 1457-1469
-
-
Hoyer, P.O.1
-
17
-
-
0035689482
-
A weighted non-negative matrix factorization for local representations
-
D. Guillamet, M. Bressan, and J. Vitri-a, "A weighted non-negative matrix factorization for local representations, " in Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit., vol. 1, 2001, pp. 942-947.
-
(2001)
Proc. IEEE Int. Conf. Comput. Vis. Pattern Recognit.
, vol.1
, pp. 942-947
-
-
Guillamet, D.1
Bressan, M.2
Vitri-a, J.3
-
18
-
-
0001387715
-
Mean-field approaches to independent component analysis
-
P. A. Højen-Sørensen, O. Winther, and L. K. Hansen, "Mean-field approaches to independent component analysis, " Neural Comput., vol. 14, no. 4, pp. 889-918, 2002.
-
(2002)
Neural Comput.
, vol.14
, Issue.4
, pp. 889-918
-
-
Højen-Srensen, P.A.1
Winther, O.2
Hansen, L.K.3
-
19
-
-
47649119838
-
Nonnegative matrix factorization with Gaussian process priors
-
M. N. Schmidt and H. Laurberg, "Nonnegative matrix factorization with Gaussian process priors, " Comput. Intell. Neurosci., vol. 2008, p. 8, 2008.
-
(2008)
Comput. Intell. Neurosci.
, vol.2008
, pp. 8
-
-
Schmidt, M.N.1
Laurberg, H.2
-
20
-
-
67149090611
-
Bayesian nonnegative matrix factorization
-
New York, NY, USA: Springer
-
M. N. Schmidt, O. Winther, and L. K. Hansen, "Bayesian nonnegative matrix factorization, " in Independent Component Analysis and Signal Separation, ser. Lecture Notes in Computer Science. New York, NY, USA: Springer, 2009.
-
(2009)
Independent Component Analysis and Signal Separation, Ser. Lecture Notes in Computer Science
-
-
Schmidt, M.N.1
Winther, O.2
Hansen, L.K.3
-
21
-
-
0000013152
-
On the statistical analysis of dirty pictures
-
J. Besag, "On the statistical analysis of dirty pictures, " J. Royal Statist. Soc., vol. 48, no. 3, pp. 259-302, 1986.
-
(1986)
J. Royal Statist. Soc.
, vol.48
, Issue.3
, pp. 259-302
-
-
Besag, J.1
-
22
-
-
67650927380
-
Bayesian inference in non-negative matrix factorisation models
-
July
-
A. T. Cemgil, "Bayesian inference in non-negative matrix factorisation models, " Comput. Intell. Neurosci., vol. 2009, p. 4, July 2009.
-
(2009)
Comput. Intell. Neurosci.
, vol.2009
, pp. 4
-
-
Cemgil, A.T.1
-
23
-
-
0141607824
-
Latent Dirichlet allocation
-
Jan
-
D. M. Blei, A. Y. Ng, and M. I. Jordan, "Latent Dirichlet allocation, " J. Mach. Learn. Res., vol. 3, pp. 993-1022, Jan. 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
24
-
-
18744410117
-
Application of beta-mixture models in bioinformatics
-
Y. Ji, C. Wu, P. Liu, J. Wang, and K. R. Coombes, "Application of beta-mixture models in bioinformatics, " Bioinformat. Appl. Note, vol. 21, pp. 2118-2122, 2005.
-
(2005)
Bioinformat. Appl. Note
, vol.21
, pp. 2118-2122
-
-
Ji, Y.1
Wu, C.2
Liu, P.3
Wang, J.4
Coombes, K.R.5
-
25
-
-
79959854021
-
PDF-optimized LSF vector quantization based on beta mixture models
-
Z. Ma and A. Leijon, "PDF-optimized LSF vector quantization based on beta mixture models, " in Proc. 11th Annu. Conf. Int. Speech Commun. Assoc., 2010, pp. 2374-2377.
-
(2010)
Proc. 11th Annu. Conf. Int. Speech Commun. Assoc.
, pp. 2374-2377
-
-
Ma, Z.1
Leijon, A.2
-
26
-
-
80053127168
-
Bayesian estimation of beta mixture models with variational inference, "
-
Nov.
-
Z. Ma and A. Leijon, "Bayesian estimation of beta mixture models with variational inference, " IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 11, pp. 2160-2173, Nov. 2011.
-
(2011)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.33
, Issue.11
, pp. 2160-2173
-
-
Ma, Z.1
Leijon, A.2
-
28
-
-
84872564830
-
A beta-mixture quantile normalisation method for correcting probe design bias in illumina infinium 450k DNA methylation data
-
Nov.
-
A. E. Teschendorff, F. Marabita, M. Lechner, T. Bartlett, J. Tegner, D. Gomez-Cabrero, and S. Beck, "A beta-mixture quantile normalisation method for correcting probe design bias in illumina infinium 450k DNA methylation data, " Bioinformatics, vol. 29, no. 2, pp. 189-196, Nov. 2012.
-
(2012)
Bioinformatics
, vol.29
, Issue.2
, pp. 189-196
-
-
Teschendorff, A.E.1
Marabita, F.2
Lechner, M.3
Bartlett, T.4
Tegner, J.5
Gomez-Cabrero, D.6
Beck, S.7
-
29
-
-
84879395510
-
A variational Bayes beta mixture model for feature selection in DNA methylation studies
-
Z. Ma and A. E. Teschendorff, "A variational Bayes beta mixture model for feature selection in DNA methylation studies, " J. Bioinformat. Comput. Biol., vol. 11, no. 4, p. 1350005, 2013.
-
(2013)
J. Bioinformat. Comput. Biol.
, vol.11
, Issue.4
, pp. 1350005
-
-
Ma, Z.1
Teschendorff, A.E.2
-
30
-
-
79951682891
-
-
ECE Dept., Univ. California, San Diego, San Diego, CA, USA, Tech. Rep
-
J. A. Palmer, "Relative convexity, " ECE Dept., Univ. California, San Diego, San Diego, CA, USA, Tech. Rep., 2003.
-
(2003)
Relative Convexity
-
-
Palmer, J.A.1
-
32
-
-
0033225865
-
An introduction to variational methods for graphical models
-
M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul, "An introduction to variational methods for graphical models, " Mach. Learn., vol. 37, no. 2, pp. 183-233, 1999.
-
(1999)
Mach. Learn.
, vol.37
, Issue.2
, pp. 183-233
-
-
Jordan, M.I.1
Ghahramani, Z.2
Jaakkola, T.S.3
Saul, L.K.4
-
34
-
-
0042685161
-
Bayesian parameter estimation via variational methods
-
T. S. Jaakkola and M. I. Jordan, "Bayesian parameter estimation via variational methods, " Statist. Comput., vol. 10, pp. 25-37, 2000.
-
(2000)
Statist. Comput.
, vol.10
, pp. 25-37
-
-
Jaakkola, T.S.1
Jordan, M.I.2
-
35
-
-
4043084564
-
Tutorial on variational approximation methods
-
T. S. Jaakkola, "Tutorial on variational approximation methods, " in Proc. Adv. Mean Field Methods, 2001, pp. 129-159.
-
(2001)
Proc. Adv. Mean Field Methods
, pp. 129-159
-
-
Jaakkola, T.S.1
-
37
-
-
52449116403
-
A correlated topic model of Science
-
D. M. Blei and J. D. Lafferty, "A correlated topic model of Science, " Ann. Appl. Statist., vol. 1, pp. 17-35, 2007.
-
(2007)
Ann. Appl. Statist.
, vol.1
, pp. 17-35
-
-
Blei, D.M.1
Lafferty, J.D.2
-
38
-
-
77952563025
-
Variational inference for large-scale models of discrete choice
-
M. Braun and J. McAuliffe, "Variational inference for large-scale models of discrete choice, " J. Amer. Statist. Assoc., vol. 105, pp. 324-335, 2010.
-
(2010)
J. Amer. Statist. Assoc.
, vol.105
, pp. 324-335
-
-
Braun, M.1
McAuliffe, J.2
-
39
-
-
33646682404
-
Practical Bayesian estimation of a finite beta mixture through Gibbs sampling and its applications
-
N. Bouguila, D. Ziou, and E. Monga, "Practical Bayesian estimation of a finite beta mixture through Gibbs sampling and its applications, " Statist. Comput., vol. 16, pp. 215-225, 2006.
-
(2006)
Statist. Comput.
, vol.16
, pp. 215-225
-
-
Bouguila, N.1
Ziou, D.2
Monga, E.3
-
40
-
-
84900821630
-
Bayesian estimation of Dirichlet mixture model with varitional inference
-
Sep.
-
Z. Ma, P. K. Rana, J. Taghia, M. Flierl, and A. Leijon, "Bayesian estimation of Dirichlet mixture model with varitional inference, " Pattern Recognit., vol. 47, no. 9, pp. 3143-3157, Sep. 2014.
-
(2014)
Pattern Recognit.
, vol.47
, Issue.9
, pp. 3143-3157
-
-
Ma, Z.1
Rana, P.K.2
Taghia, J.3
Flierl, M.4
Leijon, A.5
-
43
-
-
76649139809
-
On some covariance inequalities for monotonic and non-monotonic functions
-
M. Egozcue, L. F. Garcia, and W. K. Wong, "On some covariance inequalities for monotonic and non-monotonic functions, " J. Inequalities Pure Appl. Math., vol. 10, pp. 1-16, 2009.
-
(2009)
J. Inequalities Pure Appl. Math.
, vol.10
, pp. 1-16
-
-
Egozcue, M.1
Garcia, L.F.2
Wong, W.K.3
-
44
-
-
0033076076
-
Monte Carlo em with importance reweighting and its applications in random effects models
-
Feb
-
F. A. Quintana, J. S. Liu, and G. E. Pino, "Monte Carlo em with importance reweighting and its applications in random effects models, " Comput. Statist. Data Anal., vol. 29, no. 4, pp. 429-444, Feb. 1999.
-
(1999)
Comput. Statist. Data Anal.
, vol.29
, Issue.4
, pp. 429-444
-
-
Quintana, F.A.1
Liu, J.S.2
Pino, G.E.3
-
45
-
-
84890550659
-
Sequential Monte Carlo em for multivariate probit models
-
G. Moffa and J. Kuipers, "Sequential Monte Carlo em for multivariate probit models, " Comput. Statist. Data Anal., vol. 72, no. 0, pp. 252-272, 2014.
-
(2014)
Comput. Statist. Data Anal.
, vol.72
, pp. 252-272
-
-
Moffa, G.1
Kuipers, J.2
-
46
-
-
84924687621
-
-
[Online] Available
-
[Online]. Available: http://cs.nyu.edu/-roweis/data.html
-
-
-
-
47
-
-
77954418047
-
A survey of collaborative filtering techniques
-
Jan
-
X. Su and T. M. Khoshgoftaar, "A survey of collaborative filtering techniques, " Adv. Artif. Intell., vol. 2009, p. 4, Jan. 2009.
-
(2009)
Adv. Artif. Intell.
, vol.2009
, pp. 4
-
-
Su, X.1
Khoshgoftaar, T.M.2
-
48
-
-
0002051628
-
Empirical analysis of predictive algorithms for collaborative filtering
-
J. S. Breese, D. Heckerman, and C. Kadie, "Empirical analysis of predictive algorithms for collaborative filtering, " in Proc. 14th Conf. Uncertainty Artif. Intell., 1998, pp. 43-52.
-
(1998)
Proc. 14th Conf. Uncertainty Artif. Intell
, pp. 43-52
-
-
Breese, J.S.1
Heckerman, D.2
Kadie, C.3
-
49
-
-
3042697346
-
Evaluating collaborative filtering recommender systems
-
Jan
-
J. L. Herlocker, J. Konstan, L. G. Terveen, and J. T. Riedl, "Evaluating collaborative filtering recommender systems, " ACM Trans. Inf. Syst., vol. 22, no. 1, pp. 5-53, Jan. 2004.
-
(2004)
ACM Trans. Inf. Syst.
, vol.22
, Issue.1
, pp. 5-53
-
-
Herlocker, J.L.1
Konstan, J.2
Terveen, L.G.3
Riedl, J.T.4
-
50
-
-
84924687620
-
-
[Online] Available
-
[Online]. Available: http://www.netflixprize.com/
-
-
-
-
51
-
-
29244469466
-
The epigenetic progenitor origin of human cancer
-
Jan
-
A. P. Feinberg, R. Ohlsson, and S. Henikoff, "The epigenetic progenitor origin of human cancer, " Nat. Rev. Genetics, vol. 7, pp. 21-33, Jan. 2006.
-
(2006)
Nat. Rev. Genetics
, vol.7
, pp. 21-33
-
-
Feinberg, A.P.1
Ohlsson, R.2
Henikoff, S.3
-
52
-
-
33847065486
-
The epigenomics of cancer
-
Feb
-
P. A. Jones and S. B. Baylin, "The epigenomics of cancer, " Cell, vol. 128, no. 4, pp. 683-692, Feb. 2007.
-
(2007)
Cell
, vol.128
, Issue.4
, pp. 683-692
-
-
Jones, P.A.1
Baylin, S.B.2
-
53
-
-
84859931424
-
A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform
-
J. Zhuang, M. Widschwendter, and A. E. Teschendorff, "A comparison of feature selection and classification methods in DNA methylation studies using the Illumina Infinium platform, " BMC Bioinformatics, vol. 13, p. 59, 2012.
-
(2012)
BMC Bioinformatics
, vol.13
, pp. 59
-
-
Zhuang, J.1
Widschwendter, M.2
Teschendorff, A.E.3
-
54
-
-
52949118548
-
Model-based clustering of DNA methylation array data: A recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions
-
E. A. Houseman, B. C. Christensen, R. F. Yeh, C. J. Marsit, M. R. Karagas, M. Wrensch, H. H. Nelson, J. Wiemels, S. Zheng, J. K. Wiencke, and K. T. Kelsey, "Model-based clustering of DNA methylation array data: A recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions, " Bioinformatics, vol. 9, p. 365, 2008.
-
(2008)
Bioinformatics
, vol.9
, pp. 365
-
-
Houseman, E.A.1
Christensen, B.C.2
Yeh, R.F.3
Marsit, C.J.4
Karagas, M.R.5
Wrensch, M.6
Nelson, H.H.7
Wiemels, J.8
Zheng, S.9
Wiencke, J.K.10
Kelsey, K.T.11
-
55
-
-
33644649616
-
High-throughput DNA methylation profiling using universal bead arrays
-
Mar
-
M. Bibikova, Z. Lin, L. Zhou, E. Chudin, E. W. Garcia, B. Wu, D. Doucet, N. J. Thomas, Y. Wang, E. Vollmer, T. Goldmann, C. Seifart, W. Jiang, D. L. Barker, M. S. Chee, J. Floros, and J. B. Fan, "High-throughput DNA methylation profiling using universal bead arrays, " Genome Res., vol. 16, no. 3, pp. 383-393, Mar. 2006.
-
(2006)
Genome Res.
, vol.16
, Issue.3
, pp. 383-393
-
-
Bibikova, M.1
Lin, Z.2
Zhou, L.3
Chudin, E.4
Garcia, E.W.5
Wu, B.6
Doucet, D.7
Thomas, N.J.8
Wang, Y.9
Vollmer, E.10
Goldmann, T.11
Seifart, C.12
Jiang, W.13
Barker, D.L.14
Chee, M.S.15
Floros, J.16
Fan, J.B.17
-
56
-
-
33846576622
-
Epigenetic stem cell signature in cancer
-
Feb
-
M. Widschwendter, H. Fiegl, D. Egle, E. Mueller-Holzner, G. Spizzo, C. Marth, D. J. Weisenberger, M. Campan, J. Young, I. Jacobs, and P. W. Laird, "Epigenetic stem cell signature in cancer, " Nat. Genetics, vol. 39, no. 2, pp. 157-158, Feb 2007.
-
(2007)
Nat. Genetics
, vol.39
, Issue.2
, pp. 157-158
-
-
Widschwendter, M.1
Fiegl, H.2
Egle, D.3
Mueller-Holzner, E.4
Spizzo, G.5
Marth, C.6
Weisenberger, D.J.7
Campan, M.8
Young, J.9
Jacobs, I.10
Laird, P.W.11
-
57
-
-
84861527388
-
The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups
-
Apr.
-
C. Curtis, S. P. Shah, S. F. Chin, G. Turashvili, O. M. Rueda, M. J. Dunning, D. Speed, A. G. Lynch, S. Samarajiwa, Y. Yuan, S. Grf, G. Ha, G. Haffari, A. Bashashati, R. Russell, S. McKinney, A. Langerod, A. Green, E. Provenzano, G. W. G, S. Pinder, P. Watson, F. Markowetz, L. Murphy, I. Ellis, A. Purushotham, A. L. Borresen-Dale, J. D. Brenton, S. Tavare, C. Caldas, and S. Aparicio, "The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups, " Nature, vol. 486, no. 7403, pp. 346-352, Apr. 2012.
-
(2012)
Nature
, vol.486
, Issue.7403
, pp. 346-352
-
-
Curtis, C.1
Shah, S.P.2
Chin, S.F.3
Turashvili, G.4
Rueda, O.M.5
Dunning, M.J.6
Speed, D.7
Lynch, A.G.8
Samarajiwa, S.9
Yuan, Y.10
Grf, S.11
Ha, G.12
Haffari, G.13
Bashashati, A.14
Russell, R.15
McKinney, S.16
Langerod, A.17
Green, A.18
Provenzano, E.19
Pinder, S.20
Watson, P.21
Markowetz, F.22
Murphy, L.23
Ellis, I.24
Purushotham, A.25
Borresen-Dale, A.L.26
Brenton, J.D.27
Tavare, S.28
Caldas, C.29
Aparicio, S.30
more..
-
58
-
-
33646976588
-
Random matrix approach to cross correlations in financial data
-
Jun
-
V. Plerou, P. Gopikrishnan, B. Rosenow, L. A. Amaral, T. Guhr, and H. E. Stanley, "Random matrix approach to cross correlations in financial data, " Phys. Rev. E: Statist., Nonlinear, and Soft Matter Phys., vol. 65, p. 066126, Jun. 2002.
-
(2002)
Phys. Rev. E: Statist., Nonlinear, and Soft Matter Phys.
, vol.65
, pp. 066126
-
-
Plerou, V.1
Gopikrishnan, P.2
Rosenow, B.3
Amaral, L.A.4
Guhr, T.5
Stanley, H.E.6
-
59
-
-
79957851822
-
Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies
-
Jun.
-
A. E. Teschendorff, J. Zhuang, and M. Widschwendter, "Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies, " Bioinformatics, vol. 27, no. 11, pp. 1496-1505, Jun. 2011.
-
(2011)
Bioinformatics
, vol.27
, Issue.11
, pp. 1496-1505
-
-
Teschendorff, A.E.1
Zhuang, J.2
Widschwendter, M.3
|