-
1
-
-
0000876643
-
The application of bias to discriminant analysis
-
Di Pillo PJ. The application of bias to discriminant analysis. Commun Statistics-Theory Methods. 1976; 5(9):843-54.
-
(1976)
Commun Statistics-Theory Methods.
, vol.5
, Issue.9
, pp. 843-854
-
-
Di Pillo, P.J.1
-
2
-
-
0025792756
-
Optimal discriminant plane for a small number of samples and design method of classifier on the plane
-
Hong Z-Q, Yang J-Y. Optimal discriminant plane for a small number of samples and design method of classifier on the plane. Pattern Recognit. 1991; 24(4):317-24.
-
(1991)
Pattern Recognit.
, vol.24
, Issue.4
, pp. 317-324
-
-
Hong, Z.-Q.1
Yang, J.-Y.2
-
3
-
-
0026746940
-
Optimal fisher discriminant analysis using the rank decomposition
-
Cheng Y-Q, Zhuang Y-M, Yang J-Y. Optimal fisher discriminant analysis using the rank decomposition. Pattern Recognit. 1992; 25(1):101-11.
-
(1992)
Pattern Recognit.
, vol.25
, Issue.1
, pp. 101-111
-
-
Cheng, Y.-Q.1
Zhuang, Y.-M.2
Yang, J.-Y.3
-
5
-
-
21844486429
-
Penalized discriminant analysis
-
Hastie T, Buja A, Tibshirani R. Penalized discriminant analysis. Ann Stat. 1995; 23(1):73-102.
-
(1995)
Ann Stat.
, vol.23
, Issue.1
, pp. 73-102
-
-
Hastie, T.1
Buja, A.2
Tibshirani, R.3
-
6
-
-
0030189750
-
Covariance matrix estimation and classification with limited training data
-
Hoffbeck JP, Landgrebe DA. Covariance matrix estimation and classification with limited training data. IEEE Trans Pattern Anal Mach Intell. 1996; 18(7):763-7.
-
(1996)
IEEE Trans Pattern Anal Mach Intell.
, vol.18
, Issue.7
, pp. 763-767
-
-
Hoffbeck, J.P.1
Landgrebe, D.A.2
-
7
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit S, Fridlyand J, Speed TP. Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc. 2002; 97(457):77-87.
-
(2002)
J Am Stat Assoc.
, vol.97
, Issue.457
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
8
-
-
33845413755
-
Regularized linear discriminant analysis and its application in microarrays
-
Guo Y, Hastie T, Tibshirani R. Regularized linear discriminant analysis and its application in microarrays. Biostat. (Oxford, England). 2007; 8(1):86-100.
-
(2007)
Biostat. (Oxford, England).
, vol.8
, Issue.1
, pp. 86-100
-
-
Guo, Y.1
Hastie, T.2
Tibshirani, R.3
-
9
-
-
2342533421
-
Class prediction by nearest shrunken centroids, with applications to DNA microarrays
-
Tibshirani R, Hastie T, Narasimhan B, Chu G. Class prediction by nearest shrunken centroids, with applications to DNA microarrays. Stat Sci. 2003; 18(1):104-17.
-
(2003)
Stat Sci.
, vol.18
, Issue.1
, pp. 104-117
-
-
Tibshirani, R.1
Hastie, T.2
Narasimhan, B.3
Chu, G.4
-
10
-
-
60349120338
-
Modified linear discriminant analysis approaches for classification of high-dimensional microarray data
-
Xu P, Brock GN, Parrish RS. Modified linear discriminant analysis approaches for classification of high-dimensional microarray data. Comput Stat Data Anal. 2009; 53(5):1674-87.
-
(2009)
Comput Stat Data Anal.
, vol.53
, Issue.5
, pp. 1674-1687
-
-
Xu, P.1
Brock, G.N.2
Parrish, R.S.3
-
11
-
-
27844521293
-
A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
-
Schäfer J, Strimmer K. A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Stat Appl Genet Mol Biol. 2005; 4(1):1175-89.
-
(2005)
Stat Appl Genet Mol Biol.
, vol.4
, Issue.1
, pp. 1175-1189
-
-
Schäfer, J.1
Strimmer, K.2
-
12
-
-
0346961488
-
A well-conditioned estimator for large-dimensional covariance matrices
-
Ledoit O, Wolf M. A well-conditioned estimator for large-dimensional covariance matrices. J Multivariate Anal. 2004; 88(2):365-411.
-
(2004)
J Multivariate Anal.
, vol.88
, Issue.2
, pp. 365-411
-
-
Ledoit, O.1
Wolf, M.2
-
13
-
-
0030326891
-
Regularized gaussian discriminant analysis through eigenvalue decomposition
-
Bensmail H, Celeux G. Regularized gaussian discriminant analysis through eigenvalue decomposition. J Am Stat Assoc. 1996; 91(436):1743-8.
-
(1996)
J Am Stat Assoc.
, vol.91
, Issue.436
, pp. 1743-1748
-
-
Bensmail, H.1
Celeux, G.2
-
14
-
-
80054725919
-
Sparse linear discriminant analysis by thresholding for high dimensional data
-
Shao J, Wang Y, Deng X, Wang S. Sparse linear discriminant analysis by thresholding for high dimensional data. Ann Stat. 2011; 39(2):1241-65.
-
(2011)
Ann Stat.
, vol.39
, Issue.2
, pp. 1241-1265
-
-
Shao, J.1
Wang, Y.2
Deng, X.3
Wang, S.4
-
15
-
-
84862957781
-
A direct estimation approach to sparse linear discriminant analysis
-
Cai T, Liu W. A direct estimation approach to sparse linear discriminant analysis. J Am Stat Assoc. 2011; 106(496):1566-77.
-
(2011)
J Am Stat Assoc.
, vol.106
, Issue.496
, pp. 1566-1577
-
-
Cai, T.1
Liu, W.2
-
16
-
-
66849143711
-
Covariance-regularized regression and classification for high dimensional problems
-
Witten DM, Tibshirani R. Covariance-regularized regression and classification for high dimensional problems. J R Stat Soc: Series B (Stat Methodol). 2009; 71(3):615-36.
-
(2009)
J R Stat Soc: Series B (Stat Methodol).
, vol.71
, Issue.3
, pp. 615-636
-
-
Witten, D.M.1
Tibshirani, R.2
-
17
-
-
10244219943
-
A statistical method for identifying differential gene-gene co-expression patterns
-
Lai Y, Wu B, Chen L, Zhao H. A statistical method for identifying differential gene-gene co-expression patterns. Bioinformatics. 2004; 20(17):3146-55.
-
(2004)
Bioinformatics.
, vol.20
, Issue.17
, pp. 3146-3155
-
-
Lai, Y.1
Wu, B.2
Chen, L.3
Zhao, H.4
-
18
-
-
77957319820
-
DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules
-
Tesson BM, Breitling R, Jansen RC. DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules. BMC Bioinformatics. 2010; 11(1):497.
-
(2010)
BMC Bioinformatics.
, vol.11
, Issue.1
, pp. 497
-
-
Tesson, B.M.1
Breitling, R.2
Jansen, R.C.3
-
19
-
-
84898773541
-
Guilt by rewiring: gene prioritization through network rewiring in genome wide association studies
-
Hou L, Chen M, Zhang CK, Cho J, Zhao H. Guilt by rewiring: gene prioritization through network rewiring in genome wide association studies. Hum Mol Genet. 2014; 23(10):2780-90.
-
(2014)
Hum Mol Genet.
, vol.23
, Issue.10
, pp. 2780-2790
-
-
Hou, L.1
Chen, M.2
Zhang, C.K.3
Cho, J.4
Zhao, H.5
-
20
-
-
0000581356
-
An introduction to kernel and nearest-neighbor nonparametric regression
-
Altman NS. An introduction to kernel and nearest-neighbor nonparametric regression. Am Stat. 1992; 46(3):175-85.
-
(1992)
Am Stat.
, vol.46
, Issue.3
, pp. 175-185
-
-
Altman, N.S.1
-
21
-
-
34249753618
-
Support-vector networks
-
Cortes C, Vapnik V. Support-vector networks. Mach Learn. 1995; 20(3):273-97.
-
(1995)
Mach Learn.
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
22
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Mach Learn. 2001; 45(1):5-32.
-
(2001)
Mach Learn.
, vol.45
, Issue.1
, pp. 5-32
-
-
Breiman, L.1
-
25
-
-
84865499369
-
Positive definite estimators of large covariance matrices
-
Rothman AJ. Positive definite estimators of large covariance matrices. Biometrika. 2012; 99(3):733-40.
-
(2012)
Biometrika.
, vol.99
, Issue.3
, pp. 733-740
-
-
Rothman, A.J.1
-
26
-
-
84862594316
-
Covariance structure approximation via gLasso in high-dimensional supervised classification
-
Pavlenko T, Björkström A, Tillander A. Covariance structure approximation via gLasso in high-dimensional supervised classification. J Appl Stat. 2012; 39(8):1643-66.
-
(2012)
J Appl Stat.
, vol.39
, Issue.8
, pp. 1643-1666
-
-
Pavlenko, T.1
Björkström, A.2
Tillander, A.3
|