-
1
-
-
0033569406
-
Molecular classifications of cancer: Class discovery and class prediction by gene expression monitoring
-
T. R. Golub et al. Molecular classifications of cancer: Class discovery and class prediction by gene expression monitoring. Science, 286(5439):531-537, 1999.
-
(1999)
Science
, vol.286
, Issue.5439
, pp. 531-537
-
-
Golub, T.R.1
-
2
-
-
0035076190
-
Small sample issue for microarray-based classification
-
E. R. Dougherty. Small sample issue for microarray-based classification. Comparative and Functional Genomics, 2:28-34, 2001.
-
(2001)
Comparative and Functional Genomics
, vol.2
, pp. 28-34
-
-
Dougherty, E.R.1
-
5
-
-
33750693101
-
Gene Selection for classifying microarray data using grey relational analysis
-
Proceedings of Discovery Science
-
Li-Juan Zhang and Zhou-Jun Li, Gene Selection for classifying microarray data using grey relational analysis. Proceedings of Discovery Science'2006, Lecture Notes in Computer Science Vol.4265: 378-382, 2006
-
(2006)
Lecture Notes in Computer Science
, vol.4265
, pp. 378-382
-
-
Zhang, L.1
Li, Z.2
-
6
-
-
0141990695
-
Theoretical and empirical analysis of Relief and ReliefF
-
M. Robnik-Sikonja and I. Kononenko. Theoretical and empirical analysis of Relief and ReliefF. MachineLearning, 53:23-69, 2003.
-
(2003)
MachineLearning
, vol.53
, pp. 23-69
-
-
Robnik-Sikonja, M.1
Kononenko, I.2
-
7
-
-
38049103455
-
Minimum Redundancy Gene Selection based on Grey Relational analysis
-
IEEE Computer Society
-
Li-Juan Zhang, Zhou-Jun Li, Huo-Wang Chen and Jian Wen, Minimum Redundancy Gene Selection based on Grey Relational analysis. In Workshops Proceedings of ICDM'2006 pages 120-124, IEEE Computer Society, 2006.
-
(2006)
Workshops Proceedings of ICDM
, pp. 120-124
-
-
Zhang, L.1
Li, Z.2
Chen, H.3
Wen, J.4
-
8
-
-
0037976550
-
Improved gene selection for classification of microarrays
-
J. Jaeger, R. Sengupta, and W. L. Ruzzo. Improved gene selection for classification of microarrays. In Proc. PSB, 2003.
-
(2003)
Proc. PSB
-
-
Jaeger, J.1
Sengupta, R.2
Ruzzo, W.L.3
-
9
-
-
25444528240
-
an entropy-based gene selection method for cancer classification using microarray data
-
Xiaoxing Liu, Arun Krishnan and Adrian Mondry, an entropy-based gene selection method for cancer classification using microarray data, BMC Bioinformatics 2005,6: 76
-
(2005)
BMC Bioinformatics
, vol.6
, pp. 76
-
-
Liu, X.1
Krishnan, A.2
Mondry, A.3
-
11
-
-
25144492516
-
Efficient feature selection via analysis of relevance and redundancy
-
L. Yu, H. Liu, Efficient feature selection via analysis of relevance and redundancy, J. Mach. Learning Res. 5 (2004) 1205-1224.
-
(2004)
J. Mach. Learning Res
, vol.5
, pp. 1205-1224
-
-
Yu, L.1
Liu, H.2
-
13
-
-
85021112585
-
Feature subset selection using the wrapper method: Overfitting and dynamic search space topology
-
U. M. Fayyad & R. Uthurusamy Eds
-
Kohavi, R.&Sommerfield, D. (1995). Feature subset selection using the wrapper method: Overfitting and dynamic search space topology. In U. M. Fayyad & R. Uthurusamy (Eds.), Proceedings of KDD'95 (pp. 192-197).
-
(1995)
Proceedings of KDD'95
, pp. 192-197
-
-
Kohavi, R.1
Sommerfield, D.2
-
14
-
-
84974698517
-
Relevant examples & relevant features: Thoughts from computational learning theory
-
AAAI Press
-
Blum, A. (1994). Relevant examples & relevant features: thoughts from computational learning theory. In Relevance:Proc. 1994 AAAI Fall Symposium pages 14-18, AAAI Press.
-
(1994)
Relevance:Proc. 1994 AAAI Fall Symposium
, pp. 14-18
-
-
Blum, A.1
|