-
1
-
-
84877028141
-
Comprehensive molecular portraits of human breast tumours
-
Cancer Genome Atlas Network
-
Cancer Genome Atlas Network. (2012) Comprehensive molecular portraits of human breast tumours. Nature, 490, 61-70
-
(2012)
Nature
, vol.490
, pp. 61-70
-
-
-
2
-
-
84936916896
-
Robust locally weighted regression and smoothing scatterplots
-
Cleveland, W.S. (1979) Robust locally weighted regression and smoothing scatterplots. J. Am. Stat. Assoc., 74, 829-836
-
(1979)
J. Am. Stat. Assoc
, vol.74
, pp. 829-836
-
-
Cleveland, W.S.1
-
3
-
-
84861527388
-
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
-
Curtis, C. et al. (2012) The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature, 486, 346-352
-
(2012)
Nature
, vol.486
, pp. 346-352
-
-
Curtis, C.1
-
5
-
-
84880542781
-
Metasignatures identify two major subtypes of breast cancer
-
Duan, Q. et al. (2013) Metasignatures identify two major subtypes of breast cancer. CPT Pharmacom. Syst. Pharmacol., 3, e35
-
(2013)
CPT Pharmacom. Syst. Pharmacol
, vol.3
-
-
Duan, Q.1
-
6
-
-
77954199057
-
Improved criteria for clustering based on the posterior similarity matrix
-
Fritsch, A. and Ickstadt, K. (2009) Improved criteria for clustering based on the posterior similarity matrix. Bayesian Anal., 4, 367-391
-
(2009)
Bayesian Anal
, vol.4
, pp. 367-391
-
-
Fritsch, A.1
Ickstadt, K.2
-
7
-
-
84898934543
-
Variational inference for bayesian mixtures of factor analysers
-
Solla, S.A. et al. (ed., [NIPS Conference, Denver, Colorado, USA, November 29-December 4, 1999]. The MIT Press, Cambridge, MA, USA
-
Ghahramani, Z. and Beal, M.J. (1999) Variational inference for bayesian mixtures of factor analysers. In: Solla, S.A. et al. (ed.) Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29-December 4, 1999]. The MIT Press, Cambridge, MA, USA, pp. 449-455
-
(1999)
Advances in Neural Information Processing Systems
, vol.12
, pp. 449-455
-
-
Ghahramani, Z.1
Beal, M.J.2
-
8
-
-
0000008146
-
Comparing partitions
-
Hubert, L. and Arabie, P. (1985) Comparing partitions. J. Classif., 2, 193-218
-
(1985)
J. Classif
, vol.2
, pp. 193-218
-
-
Hubert, L.1
Arabie, P.2
-
9
-
-
78149477701
-
Genomic subtypes of breast cancer identified by arraycomparative genomic hybridization display distinct molecular and clinical characteristics
-
Jönsson G et al. 2010 Genomic subtypes of breast cancer identified by arraycomparative genomic hybridization display distinct molecular and clinical characteristics Breast Cancer Res. 12 R42
-
(2010)
Breast Cancer Res
, vol.12
-
-
Jönsson, G.1
-
10
-
-
84870796415
-
Bayesian correlated clustering to integrate multiple datasets
-
Kirk, P. et al. (2012) Bayesian correlated clustering to integrate multiple datasets. Bioinformatics, 28, 3290-3297
-
(2012)
Bioinformatics
, vol.28
, pp. 3290-3297
-
-
Kirk, P.1
-
11
-
-
84870001973
-
Integrative model-based clustering of microarray methylation and expression data
-
Kormaksson, M. et al. (2012) Integrative model-based clustering of microarray methylation and expression data. Ann. Appl. Stat., 6, 1327-1347
-
(2012)
Ann. Appl. Stat
, vol.6
, pp. 1327-1347
-
-
Kormaksson, M.1
-
12
-
-
84876058478
-
Joint and individual variation explained (jive) for integrated analysis of multiple data types
-
Lock, E. et al. (2013) Joint and Individual Variation Explained (JIVE) for integrated analysis of multiple data types. Ann. Appl. Stat., 7, 523-542
-
(2013)
Ann. Appl. Stat
, vol.7
, pp. 523-542
-
-
Lock, E.1
-
13
-
-
80051934386
-
Onplsa novel multiblock method for the modelling of predictive and orthogonal variation
-
Löfstedt T Trygg J. 2011 Onplsa novel multiblock method for the modelling of predictive and orthogonal variation J. Chemom. 25 441-455
-
(2011)
J. Chemom
, vol.25
, pp. 441-455
-
-
Löfstedt, T.1
Trygg, J.2
-
15
-
-
84875016233
-
Pattern discovery and cancer gene identification in integrated cancer genomic data
-
Mo, Q. et al. (2013) Pattern discovery and cancer gene identification in integrated cancer genomic data. Proc. Natl Acad. Sci. USA, 110, 4245-4250
-
(2013)
Proc. Natl Acad. Sci. USA
, vol.110
, pp. 4245-4250
-
-
Mo, Q.1
-
16
-
-
49749114840
-
Consensus clusterings
-
October 28-31, 2007, Omaha, Nebraska, USA. IEEE Computer Society
-
Nguyen, N. and Caruana, R. (2007) Consensus clusterings. In: Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA. pages 607-612. IEEE Computer Society
-
(2007)
Proceedings of the 7th IEEE International Conference on Data Mining ICDM 2007
, pp. 607-612
-
-
Nguyen, N.1
Caruana, R.2
-
17
-
-
79958266660
-
The dirichlet labeling process for clustering functional data
-
Nguyen, X. and Gelfand, A.E. (2011) The Dirichlet labeling process for clustering functional data. Stat. Sin., 21, 1249-1289
-
(2011)
Stat. Sin
, vol.21
, pp. 1249-1289
-
-
Nguyen, X.1
Gelfand, A.E.2
-
18
-
-
84907095419
-
R: A language and environment for statistical computing
-
R Development Core Team Vienna, Austria. ISBN 3-900051-07-0
-
R Development Core Team. (2012) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0
-
(2012)
R Foundation for Statistical Computing
-
-
-
20
-
-
84867125131
-
Copula mixture model for dependency-seeking clustering
-
Langford, J. and Pineau, J. (eds). ICML12, p., New York, NY, Omnipress
-
Rey, M. and Roth, V. (2012) Copula mixture model for dependency-seeking clustering. In: Langford, J. and Pineau, J. (eds) Proceedings of the 29th International Conference on Machine Learning (ICML-12). ICML12, p. 927-934, New York, NY, Omnipress
-
(2012)
Proceedings of the 29th International Conference on Machine Learning (ICML-12
, pp. 927-934
-
-
Rey, M.1
Roth, V.2
-
21
-
-
57249105121
-
Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models
-
Rogers, S. et al. (2008) Investigating the correspondence between transcriptomic and proteomic expression profiles using coupled cluster models. Bioinformatics, 24, 2894-2900
-
(2008)
Bioinformatics
, vol.24
, pp. 2894-2900
-
-
Rogers, S.1
-
22
-
-
77954207953
-
Discovering transcriptional modules by bayesian data integration
-
Savage, R.S. et al. (2010) Discovering transcriptional modules by bayesian data integration. Bioinformatics, 26, i158-i167
-
(2010)
Bioinformatics
, vol.26
-
-
Savage, R.S.1
-
24
-
-
70449331456
-
Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis
-
Shen, R. et al. (2009) Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer subtype analysis. Bioinformatics, 25, 2906-2912
-
(2009)
Bioinformatics
, vol.25
, pp. 2906-2912
-
-
Shen, R.1
-
25
-
-
20444465712
-
Bayesian variable selection in clustering high-dimensional data
-
Tadesse, M.G. et al. (2005) Bayesian variable selection in clustering high-dimensional data. J. Am. Stat. Assoc., 100, 602-617
-
(2005)
J. Am. Stat. Assoc
, vol.100
, pp. 602-617
-
-
Tadesse, M.G.1
-
26
-
-
79551693227
-
Bayesian cluster ensembles
-
Wang, H. et al. (2011) Bayesian cluster ensembles. Stat. Anal. Data Mining, 4, 54-70
-
(2011)
Stat. Anal. Data Mining
, vol.4
, pp. 54-70
-
-
Wang, H.1
-
27
-
-
77958056558
-
Nonparametric bayesian clustering ensembles
-
Springer, Berlin-Heidelberg
-
Wang, P. et al. (2010) Nonparametric bayesian clustering ensembles. In: Machine Learning and Knowledge Discovery in Databases. Springer, Berlin-Heidelberg, pp. 435-450
-
(2010)
Machine Learning and Knowledge Discovery in Databases
, pp. 435-450
-
-
Wang, P.1
-
28
-
-
80055083654
-
Patient-specific data fusion defines prognostic cancer subtypes
-
Yuan, Y. et al. (2011) Patient-specific data fusion defines prognostic cancer subtypes. PLoS Comput. Biol., 7, e1002227
-
(2011)
PLoS Comput. Biol
, vol.7
-
-
Yuan, Y.1
|