-
2
-
-
18544375333
-
MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia
-
S. Armstrong, J. Staunton, L. Silverman, R. Pieters, M. den Boer, M. Minden, S. Sallan, E. Lander, T. Golub, and S. Korsmeyer MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia Nat. Genet. 30 2002 41 47
-
(2002)
Nat. Genet.
, vol.30
, pp. 41-47
-
-
Armstrong, S.1
Staunton, J.2
Silverman, L.3
Pieters, R.4
Den Boer, M.5
Minden, M.6
Sallan, S.7
Lander, E.8
Golub, T.9
Korsmeyer, S.10
-
4
-
-
0035923521
-
Classification of human lung carcinomas by mrna expression profiling reveals distinct adenocarcinoma subclasses
-
A. Bhattacharjee, W. Richards, J. Staunton, C. Li, S. Monti, V.P., C. Ladd, J. Beheshti, R. Bueno, M. Gillette, M. Loda, G. Weber, E. Mark, E. Lander, W. Wong, B. Johnson, T. Golub, D. Sugarbaker, M. Meyerson, Classification of human lung carcinomas by mrna expression profiling reveals distinct adenocarcinoma subclasses, in: Proceedings of the National Academy of Sciences of USA 98, pp. 13790-13795.
-
Proceedings of the National Academy of Sciences of USA
, vol.98
, pp. 13790-13795
-
-
Bhattacharjee, A.1
Richards, W.2
Staunton, J.3
Li, C.4
Monti, S.5
V, P.6
Ladd, C.7
Beheshti, J.8
Bueno, R.9
Gillette, M.10
Loda, M.11
Weber, G.12
Mark, E.13
Lander, E.14
Wong, W.15
Johnson, B.16
Golub, T.17
Sugarbaker, D.18
Meyerson, M.19
-
5
-
-
0002709342
-
Feature selection via concave minimization and support vector machines
-
San Francisco, California, Morgan Kaufmann
-
P. Bradley, O. Mangasarian, Feature selection via concave minimization and support vector machines, in: Machine Learning proceedings of the fifteenth International Conference (ICML'98) 82-90, San Francisco, California, Morgan Kaufmann.
-
Machine Learning Proceedings of the Fifteenth International Conference (ICML'98)
, pp. 82-90
-
-
Bradley, P.1
Mangasarian, O.2
-
6
-
-
77956216411
-
Unsupervised feature selection for multi-cluster data
-
July 25-28, Washington DC, USA
-
D. Cai, C. Zhang, X. He, Unsupervised feature selection for multi-cluster data, in: KDD, July 25-28, 2010, Washington DC, USA.
-
(2010)
KDD
-
-
Cai, D.1
Zhang, C.2
He, X.3
-
7
-
-
79955576879
-
Detecting relevant variables and interactions in supervised classification
-
E. Carrizosa, B. Martín-Barragán, and D. Romero-Morales Detecting relevant variables and interactions in supervised classification Eur. J. Oper. Res. 213 2011 260 269
-
(2011)
Eur. J. Oper. Res.
, vol.213
, pp. 260-269
-
-
Carrizosa, E.1
Martín-Barragán, B.2
Romero-Morales, D.3
-
9
-
-
78149289039
-
Feature selection for clustering - A filter solution
-
M. Dash, K. Choi, P. Scheuermann, H. Liu, Feature selection for clustering - a filter solution, in: Proceedings of the Second International Conference on Data Mining, pp. 115-122.
-
Proceedings of the Second International Conference on Data Mining
, pp. 115-122
-
-
Dash, M.1
Choi, K.2
Scheuermann, P.3
Liu, H.4
-
17
-
-
84899935969
-
Unsupervised clustering and feature weighting based on generalized Dirichlet mixture modeling
-
M.M.B. Ismail, and H. Frigui Unsupervised clustering and feature weighting based on generalized Dirichlet mixture modeling Information Sciences 274 2014 35 54
-
(2014)
Information Sciences
, vol.274
, pp. 35-54
-
-
Ismail, M.M.B.1
Frigui, H.2
-
19
-
-
33745655083
-
-
Pattern Recognition and Signal Processing Sijthoff and Noordhoff Netherlands
-
J. Kittler Pattern recognition and signal processing Pattern Recognition and Signal Processing 1978 Sijthoff and Noordhoff Netherlands
-
(1978)
Pattern Recognition and Signal Processing
-
-
Kittler, J.1
-
21
-
-
33748420317
-
Pattern classification in DNA microarray data of multiple tumor types
-
T. Lin, R. Liu, C. Chen, Y. Chao, and S. Chen Pattern classification in DNA microarray data of multiple tumor types Pattern Recogn. 39 2006 2426 2438
-
(2006)
Pattern Recogn.
, vol.39
, pp. 2426-2438
-
-
Lin, T.1
Liu, R.2
Chen, C.3
Chao, Y.4
Chen, S.5
-
22
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
Berkeley, Calif.
-
J. MacQueen, Some methods for classification and analysis of multivariate observations, in: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, Berkeley, Calif., pp. 281-297.
-
Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability
, vol.1
, pp. 281-297
-
-
MacQueen, J.1
-
23
-
-
77958106713
-
Kernel-penalized SVM for feature selection
-
S. Maldonado, R. Weber, and J. Basak Kernel-penalized SVM for feature selection Inf. Sci. 181 2011 115 128
-
(2011)
Inf. Sci.
, vol.181
, pp. 115-128
-
-
Maldonado, S.1
Weber, R.2
Basak, J.3
-
24
-
-
0037381008
-
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification
-
C. Nutt, D. Mani, R. Betensky, P. Tamayo, J. Cairncross, C. Ladd, U. Pohl, C. Hartmann, M. McLaughlin, T. Batchelor, P. Black, A. von Deimling, S. Pomeroy, T. Golub, and D. Louis Gene expression-based classification of malignant gliomas correlates better with survival than histological classification Cancer Res. 63 2003 1602 1607
-
(2003)
Cancer Res.
, vol.63
, pp. 1602-1607
-
-
Nutt, C.1
Mani, D.2
Betensky, R.3
Tamayo, P.4
Cairncross, J.5
Ladd, C.6
Pohl, U.7
Hartmann, C.8
McLaughlin, M.9
Batchelor, T.10
Black, P.11
Von Deimling, A.12
Pomeroy, S.13
Golub, T.14
Louis, D.15
-
25
-
-
84897053423
-
Embedded local feature selection within mixture of experts
-
B. Peralta, and A. Soto Embedded local feature selection within mixture of experts Inf. Sci. 269 2014 176 187
-
(2014)
Inf. Sci.
, vol.269
, pp. 176-187
-
-
Peralta, B.1
Soto, A.2
-
26
-
-
84890447445
-
Variable selection using SVM-based criteria
-
A. Rakotomamonjy Variable selection using SVM-based criteria J. Mach. Learn. Res. 3 2003 1357 1370
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1357-1370
-
-
Rakotomamonjy, A.1
-
27
-
-
56749117943
-
In defense of one-vs-all classification
-
R. Rifkin, and A. Klautau In defense of one-vs-all classification J. Mach. Learn. Res. 5 2004 101 141
-
(2004)
J. Mach. Learn. Res.
, vol.5
, pp. 101-141
-
-
Rifkin, R.1
Klautau, A.2
-
28
-
-
46249097886
-
A comparison of principal component analysis and generalized Hebbian algorithm for image compression and face recognition
-
Cairo, Egypt
-
M.R.M. Rizk, E. Koosha, A comparison of principal component analysis and generalized Hebbian algorithm for image compression and face recognition, in: The 2006 International Conference on Computer Engineering and Systems, Cairo, Egypt, pp. 214-219.
-
The 2006 International Conference on Computer Engineering and Systems
, pp. 214-219
-
-
Rizk, M.R.M.1
Koosha, E.2
-
29
-
-
0024883243
-
Optimal unsupervised learning in a single-layer linear feedforward neural network
-
T.D. Sanger Optimal unsupervised learning in a single-layer linear feedforward neural network Neural Netw. 2 1989 459 473
-
(1989)
Neural Netw.
, vol.2
, pp. 459-473
-
-
Sanger, T.D.1
-
30
-
-
84896822356
-
A dynamic understanding of customer behavior processes based on clustering and sequence mining
-
A. Seret, S. vanden Broucke, B. Baesens, and J. Vanthienen A dynamic understanding of customer behavior processes based on clustering and sequence mining Expert Syst. Appl. 41 2014 4648 4657
-
(2014)
Expert Syst. Appl.
, vol.41
, pp. 4648-4657
-
-
Seret, A.1
Vanden Broucke, S.2
Baesens, B.3
Vanthienen, J.4
-
31
-
-
67949110882
-
-
John Wiley and Sons Hoboken, NJ
-
R. Xu, and D. Wunsch Clustering 2008 John Wiley and Sons Hoboken, NJ
-
(2008)
Clustering
-
-
Xu, R.1
Wunsch, D.2
-
32
-
-
33746677949
-
A stable gene selection in microarray data analysis
-
K. Yang, Z. Cai, J. Li, and G. Lin A stable gene selection in microarray data analysis BMC Bioinform. 7 2006 228
-
(2006)
BMC Bioinform.
, vol.7
, pp. 228
-
-
Yang, K.1
Cai, Z.2
Li, J.3
Lin, G.4
-
33
-
-
84898995558
-
Self-tuning spectral clustering
-
Y.W.L.K. Saul, L. Bottou, MIT Press Cambridge, MA
-
L. Zelnik-Manor, and P. Perona Self-tuning spectral clustering Y.W.L.K. Saul, L. Bottou, Advances in Neural Information Processing Systems vol. 17 2005 MIT Press Cambridge, MA 1601 1608
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 1601-1608
-
-
Zelnik-Manor, L.1
Perona, P.2
|