-
1
-
-
34548536094
-
The High-Dimension, Low-Sample-Size Geometric Representation Holds Under Mild Conditions
-
Ahn J, Marron JS, Muller KM, Chi YY (2007). The High-Dimension, Low-Sample-Size Geometric Representation Holds Under Mild Conditions. Biometrika, 94(3), 760-766.
-
(2007)
Biometrika
, vol.94
, Issue.3
, pp. 760-766
-
-
Ahn, J.1
Marron, J.S.2
Muller, K.M.3
Chi, Y.Y.4
-
2
-
-
0003706460
-
-
3rd edition. Society for Industrial and Applied Mathematics, Philadelphia
-
Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J, Croz JD, Greenbaum A, Hammarling S, McKenney A, Sorensen D (1999). LAPACK Users' Guide. 3rd edition. Society for Industrial and Applied Mathematics, Philadelphia.
-
(1999)
LAPACK Users' Guide
-
-
Anderson, E.1
Bai, Z.2
Bischof, C.3
Blackford, S.4
Demmel, J.5
Dongarra, J.6
Croz, J.D.7
Greenbaum, A.8
Hammarling, S.9
McKenney, A.10
Sorensen, D.11
-
3
-
-
84857383225
-
HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data
-
Bergé L, Bouveyron C, Girard S (2012). HDclassif: An R Package for Model-Based Clustering and Discriminant Analysis of High-Dimensional Data. Journal of Statistical Software, 46(6), 1-29. URL http://www.jstatsoft.org/v46/i06/.
-
(2012)
Journal of Statistical Software
, vol.46
, Issue.6
, pp. 1-29
-
-
Bergé, L.1
Bouveyron, C.2
Girard, S.3
-
5
-
-
33749626257
-
A Laplace Mixture Model for Identification of Differential Expression in Microarray Experiments
-
Bhowmick D, Davison AC, Goldstein DR, Ruffieux Y (2006). A Laplace Mixture Model for Identification of Differential Expression in Microarray Experiments. Biostatistics, 7, 630-641.
-
(2006)
Biostatistics
, vol.7
, pp. 630-641
-
-
Bhowmick, D.1
Davison, A.C.2
Goldstein, D.R.3
Ruffieux, Y.4
-
6
-
-
39849102639
-
Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR
-
Bondell HD, Reich BJ (2008). Simultaneous Regression Shrinkage, Variable Selection, and Supervised Clustering of Predictors with OSCAR. Biometrics, 64, 115-123.
-
(2008)
Biometrics
, vol.64
, pp. 115-123
-
-
Bondell, H.D.1
Reich, B.J.2
-
8
-
-
0020998698
-
On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions
-
Chang WC (1983). On Using Principal Components Before Separating a Mixture of Two Multivariate Normal Distributions. Applied Statistics, 32, 267-275.
-
(1983)
Applied Statistics
, vol.32
, pp. 267-275
-
-
Chang, W.C.1
-
13
-
-
28744458859
-
Bioconductor: Open Software Development for Computational Biology and Bioinformatics
-
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). Bioconductor: Open Software Development for Computational Biology and Bioinformatics. Genome Biology, 5, R80. URL http://genomebiology.com/2004/5/10/R80.
-
(2004)
Genome Biology
, vol.5
-
-
Gentleman, R.C.1
Carey, V.J.2
Bates, D.M.3
Bolstad, B.4
Dettling, M.5
Dudoit, S.6
Ellis, B.7
Gautier, L.8
Ge, Y.9
Gentry, J.10
Hornik, K.11
Hothorn, T.12
Huber, W.13
Iacus, S.14
Irizarry, R.15
Leisch, F.16
Li, C.17
Maechler, M.18
Rossini, A.J.19
Sawitzki, G.20
Smith, C.21
Smyth, G.22
Tierney, L.23
Yang, J.Y.H.24
Zhang, J.25
more..
-
14
-
-
0031526204
-
Approaches for Bayesian Variable Selection
-
George EI, McCulloch RE (1997). Approaches for Bayesian Variable Selection. Statistica Sinica, 7, 339-373.
-
(1997)
Statistica Sinica
, vol.7
, pp. 339-373
-
-
George, E.I.1
McCulloch, R.E.2
-
15
-
-
0036188158
-
Mixture Modelling of Gene Expression Data From Microarray Experiments
-
Ghosh D, Chinnaiyan AM (2002). Mixture Modelling of Gene Expression Data From Microarray Experiments. Bioinformatics, 18, 275-286.
-
(2002)
Bioinformatics
, vol.18
, pp. 275-286
-
-
Ghosh, D.1
Chinnaiyan, A.M.2
-
16
-
-
20744451888
-
Geometric Representation of High Dimension, Low Sample Size Data
-
Hall P, Marron JS, Neeman A (2005). Geometric Representation of High Dimension, Low Sample Size Data. Journal of the Royal Statistical Society B, 67, 427-444.
-
(2005)
Journal of the Royal Statistical Society B
, vol.67
, pp. 427-444
-
-
Hall, P.1
Marron, J.S.2
Neeman, A.3
-
17
-
-
33645507298
-
A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves
-
Heard NA, Holmes CC, Stephens DA (2006). A Quantitative Study of Gene Regulation Involved in the Immune Response of Anopheline Mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves. Journal of the American Statistical Association, 101, 18-29.
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 18-29
-
-
Heard, N.A.1
Holmes, C.C.2
Stephens, D.A.3
-
18
-
-
33645992615
-
Model-Based Subspace Clustering
-
Hoff PD (2006). Model-Based Subspace Clustering. Bayesian Analysis, 1, 321-344.
-
(2006)
Bayesian Analysis
, vol.1
, pp. 321-344
-
-
Hoff, P.D.1
-
20
-
-
33845734547
-
Variable Selection in Clustering via Dirichlet Process Mixture Models
-
Kim S, Tadesse MG, Vannucci M (2006). Variable Selection in Clustering via Dirichlet Process Mixture Models. Biometrika, 93, 877-893.
-
(2006)
Biometrika
, vol.93
, pp. 877-893
-
-
Kim, S.1
Tadesse, M.G.2
Vannucci, M.3
-
21
-
-
0003126317
-
A General Theory of Classificatory Sorting Strategies 1. Hierarchical Systems
-
Lance GN, Williams WT (1967). A General Theory of Classificatory Sorting Strategies 1. Hierarchical Systems. The Computer Journal, 9, 373-380.
-
(1967)
The Computer Journal
, vol.9
, pp. 373-380
-
-
Lance, G.N.1
Williams, W.T.2
-
22
-
-
77956878238
-
Neighborhood Graphs, Stripes and Shadow Plots for Cluster Visualization
-
Leisch F (2010). Neighborhood Graphs, Stripes and Shadow Plots for Cluster Visualization. Statistics and Computing, 20, 457-469.
-
(2010)
Statistics and Computing
, vol.20
, pp. 457-469
-
-
Leisch, F.1
-
23
-
-
15044339834
-
-
JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, M West (eds.), Oxford University Press
-
Liu JS, Zhang JL, Palumbo MJ, Lawrence CE (2003). Bayesian Clustering with Variable and Transformation Selections. In JM Bernardo, MJ Bayarri, JO Berger, AP Dawid, D Heckerman, AFM Smith, M West (eds.), Bayesian Statistics 7, pp. 249-275 Oxford University Press.
-
(2003)
Bayesian Clustering With Variable and Transformation Selections
-
-
Liu, J.S.1
Zhang, J.L.2
Palumbo, M.J.3
Lawrence, C.E.4
-
25
-
-
0036203115
-
A Mixture Model-Based Approach to the Clustering of Microarray Expression Data
-
McLachlan GJ, Bean RW, Peel D (2002). A Mixture Model-Based Approach to the Clustering of Microarray Expression Data. Bioinformatics, 18, 413-422.
-
(2002)
Bioinformatics
, vol.18
, pp. 413-422
-
-
McLachlan, G.J.1
Bean, R.W.2
Peel, D.3
-
26
-
-
34249801494
-
Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting
-
Messerli G, Partovi Nia V, Trevisan M, Kolbe A, Schauer N, Geigenberger P, Chen J, Davison AC, Fernie AR, Zeeman SC (2007). Rapid Classification of Phenotypic Mutants of Arabidopsis via Metabolite Fingerprinting. Plant Physiology, 143, 1481-1492.
-
(2007)
Plant Physiology
, vol.143
, pp. 1481-1492
-
-
Messerli, G.1
Partovi, N.V.2
Trevisan, M.3
Kolbe, A.4
Schauer, N.5
Geigenberger, P.6
Chen, J.7
Davison, A.C.8
Fernie, A.R.9
Zeeman, S.C.10
-
28
-
-
1042304216
-
ape: Analyses of Phylogenetics and Evolution in R Language
-
Paradis E, Claude J, Strimmer K (2004). ape: Analyses of Phylogenetics and Evolution in R Language. Bioinformatics, 20, 289-290.
-
(2004)
Bioinformatics
, vol.20
, pp. 289-290
-
-
Paradis, E.1
Claude, J.2
Strimmer, K.3
-
32
-
-
84863304598
-
-
R Development Core Team R Foundation for Statistical Computing, 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, URL http://www.R-project.org/.
-
(2012)
R: A Language and Environment For Statistical Computing
-
-
-
34
-
-
69849104854
-
R/BHC: Fast Bayesian Hierarchical Clustering for Microarray Data
-
Savage RS, Heller K, Xu Y, Ghahramani Z, Truman WM, Grant M, Denby KJ, Wild DL (2009). R/BHC: Fast Bayesian Hierarchical Clustering for Microarray Data. BMC Bioinformatics, 10, 242.
-
(2009)
BMC Bioinformatics
, vol.10
, pp. 242
-
-
Savage, R.S.1
Heller, K.2
Xu, Y.3
Ghahramani, Z.4
Truman, W.M.5
Grant, M.6
Denby, K.J.7
Wild, D.L.8
-
36
-
-
43749096785
-
Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
-
Wang S, Zhu J (2008). Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data. Biometrics, 64, 440-448.
-
(2008)
Biometrics
, vol.64
, pp. 440-448
-
-
Wang, S.1
Zhu, J.2
|