-
1
-
-
0034598746
-
Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
-
Alizadeh, A.A., Eisen, M.B., Davis, R.E., Ma, C., Lossos, I.S., Rosenwald, A., Boldrick, J.C., Sabet, H., Tran, T., Yu, X., et al., 2000. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature, 403: 503-511.
-
(2000)
Nature
, vol.403
, pp. 503-511
-
-
Alizadeh, A.A.1
Eisen, M.B.2
Davis, R.E.3
Ma, C.4
Lossos, I.S.5
Rosenwald, A.6
Boldrick, J.C.7
Sabet, H.8
Tran, T.9
Yu, X.10
-
2
-
-
0036161011
-
Choosing kernel parameters for support vector machines
-
Chapelle, O., Vapnik, V., Bousquet, O., Mukherjee, S., 2002. Choosing kernel parameters for support vector machines. Machine Learning, 46: 131-159.
-
(2002)
Machine Learning
, vol.46
, pp. 131-159
-
-
Chapelle, O.1
Vapnik, V.2
Bousquet, O.3
Mukherjee, S.4
-
4
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit, S., Fridlyand, J., Speed, T.P., 2002. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 97: 77-87.
-
(2002)
Journal of the American Statistical Association
, vol.97
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
5
-
-
0037813165
-
An accelerated procedure for recursive feature ranking on microarray data
-
Furlanello, C., Serafini, M., Merler, S., Jurman, G., 2003. An accelerated procedure for recursive feature ranking on microarray data. Neural Networks, 16: 641-648.
-
(2003)
Neural Networks
, vol.16
, pp. 641-648
-
-
Furlanello, C.1
Serafini, M.2
Merler, S.3
Jurman, G.4
-
6
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
Golub, T.R., Slonim, D.K., Tamayo, P., Huard, C., Gaasenbeek, M., Mesirov, J.P., Coller, H., Loh, M.L., Downing, J.R., Caligiuri, M.A., et al., 1999. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286: 531-537.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.P.6
Coller, H.7
Loh, M.L.8
Downing, J.R.9
Caligiuri, M.A.10
-
7
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon, I., Weston, J., Barnhill, S., Vapnik, V., 2002. Gene selection for cancer classification using support vector machines. Machine Learning, 46: 389-422.
-
(2002)
Machine Learning
, vol.46
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
8
-
-
0035931947
-
Gene expression profiles in hereditary breast cancer
-
Hedenfalk, I., Duggan, D., Chen, Y., Radmacher, M., Bittner, M., Simon, R., Meltzer, P., Gusterson, B., Esteller, M., Rafeld, M., et al., 2001. Gene expression profiles in hereditary breast cancer. The New England Journal of Medicine, 344: 539-548.
-
(2001)
The New England Journal of Medicine
, vol.344
, pp. 539-548
-
-
Hedenfalk, I.1
Duggan, D.2
Chen, Y.3
Radmacher, M.4
Bittner, M.5
Simon, R.6
Meltzer, P.7
Gusterson, B.8
Esteller, M.9
Rafeld, M.10
-
9
-
-
0003637791
-
A genetic algorithm for function optimization: A matlab implementatio
-
NCSU-IE TR 95-09, North Carolina State University, USA
-
Houck, C., Joines, J., Kay, M., 1995. A Genetic Algorithm for Function Optimization: A Matlab Implementatio. NCSU-IE TR 95-09, North Carolina State University, USA.
-
(1995)
-
-
Houck, C.1
Joines, J.2
Kay, M.3
-
10
-
-
0034661192
-
Multivariate measurement of gene expression relations
-
Kim, S., Dougherty, E.R., Chen, Y., Sivakumar, K., Meltzer, P., Trent, J.M., Bittner, M., 2000. Multivariate measurement of gene expression relations. Genomics, 67: 201-209.
-
(2000)
Genomics
, vol.67
, pp. 201-209
-
-
Kim, S.1
Dougherty, E.R.2
Chen, Y.3
Sivakumar, K.4
Meltzer, P.5
Trent, J.M.6
Bittner, M.7
-
11
-
-
0036211375
-
Strong feature sets from small samples
-
Kim, S., Dougherty, E.R., Barrea, J., Chen, Y., Bittner, M., Trent, J.M., 2002. Strong feature sets from small samples. Journal of Computational Biology, 9: 127-146.
-
(2002)
Journal of Computational Biology
, vol.9
, pp. 127-146
-
-
Kim, S.1
Dougherty, E.R.2
Barrea, J.3
Chen, Y.4
Bittner, M.5
Trent, J.M.6
-
12
-
-
12244265090
-
Gene selection: A Bayesian variable selection approach
-
Lee, K.E., Sha, N., Dougherty, E.R., Vannucci, M., Mallick, B.K., 2003. Gene selection: a Bayesian variable selection approach. Bioinformatics, 19: 90-97.
-
(2003)
Bioinformatics
, vol.19
, pp. 90-97
-
-
Lee, K.E.1
Sha, N.2
Dougherty, E.R.3
Vannucci, M.4
Mallick, B.K.5
-
13
-
-
0000984930
-
How many genes are needed for a discriminant microarray data analysis
-
Lin S.M. and Johnson K.F.(ed.), Kluwer Academic, Boston
-
Li, W., Yang, Y., 2002. How Many Genes are Needed for a Discriminant Microarray Data Analysis. In: Lin, S.M., Johnson, K.F. (Eds.), Methods of Microarray Data Analysis. Kluwer Academic, Boston, p.137-150.
-
(2002)
Methods of Microarray Data Analysis
, pp. 137-150
-
-
Li, W.1
Yang, Y.2
-
14
-
-
27944475871
-
Multi-class cancer classification by using fuzzy support vector machine and binary decision tree with gene selection
-
In press
-
Mao, Y., Zhou, X., Pi, D.Y., Wong, T.C., Sun, Y.X., 2004. Multi-class cancer classification by using fuzzy support vector machine and binary decision tree with gene selection. Journal of Biomedicine and Biotechnology, in Press.
-
(2004)
Journal of Biomedicine and Biotechnology
-
-
Mao, Y.1
Zhou, X.2
Pi, D.Y.3
Wong, T.C.4
Sun, Y.X.5
-
15
-
-
0003482381
-
-
Wiley, New York
-
Miettinen, K., Neittaanmaki, P., Makela, M.M., 1999. Evolutionary Algorithms in Engineering and Computer Science. Wiley, New York.
-
(1999)
Evolutionary Algorithms in Engineering and Computer Science
-
-
Miettinen, K.1
Neittaanmaki, P.2
Makela, M.M.3
-
16
-
-
35048812218
-
Kernel feature selection with side data using a spectral approach. Computer vision
-
Prague, Czech Republic
-
Shashua, A., Wolf, L., 2004. Kernel Feature Selection with Side Data using a Spectral Approach. Computer Vision. ECCV 2004: 8th European Conference on Computer Vision. Prague, Czech Republic, p.39-53.
-
(2004)
ECCV 2004: 8th European Conference on Computer Vision
, pp. 39-53
-
-
Shashua, A.1
Wolf, L.2
-
17
-
-
0028409149
-
Adaptive probabilities of crossover and mutation in genetic algorithm
-
Srinivas, M., Patnaik, L.M., 1994. Adaptive probabilities of crossover and mutation in genetic algorithm. IEEE Trans. Syst. Man, Cybem., 24(4): 656-667.
-
(1994)
IEEE Trans. Syst. Man, Cybem.
, vol.24
, Issue.4
, pp. 656-667
-
-
Srinivas, M.1
Patnaik, L.M.2
-
18
-
-
0035556069
-
On the use of MDL principle in gene expression prediction
-
Tabus, I., Astola, J., 2001. On the use of MDL principle in gene expression prediction. J. Appl. Signal Process, 4: 297-303.
-
(2001)
J. Appl. Signal Process
, vol.4
, pp. 297-303
-
-
Tabus, I.1
Astola, J.2
-
20
-
-
0001001098
-
-
Leen T.K., Dietterich T.G. and Tresp V.(ed.), MIT Press, Cambridge, MA
-
Weston, J., Mukherjee, S., Chapelle, O., Pontil, M., Poggio, T., Vapnik, V., 2001. In: Leen, T.K., Dietterich, T.G., Tresp, V. (Eds.), Advances in Neural Information Processing Systems 13. MIT Press, Cambridge, MA, p.668-674.
-
(2001)
Advances in Neural Information Processing Systems 13
, pp. 668-674
-
-
Weston, J.1
Mukherjee, S.2
Chapelle, O.3
Pontil, M.4
Poggio, T.5
Vapnik, V.6
-
21
-
-
0037776352
-
Recursive sample classification and gene selection based on SVM: Method and software description
-
Technical Report, Department of Biostatistics, Harvard School of Public Health, USA
-
Zhang, X., Wong, W., 2001. Recursive Sample Classification and Gene Selection Based on SVM: Method and Software Description. Technical Report, Department of Biostatistics, Harvard School of Public Health, USA.
-
(2001)
-
-
Zhang, X.1
Wong, W.2
-
22
-
-
12244294063
-
Construction of genomic networks using mutual-information clustering and reversible-jump Markov-Chain-Monte-Carlo predictor design
-
Zhou, X., Wang, X., Dougherty, E.R., 2003a. Construction of genomic networks using mutual-information clustering and reversible-jump Markov-Chain-Monte-Carlo predictor design. Signal Process, 83: 745-761.
-
(2003)
Signal Process
, vol.83
, pp. 745-761
-
-
Zhou, X.1
Wang, X.2
Dougherty, E.R.3
-
23
-
-
1542463515
-
Binarization of microarray data based on a mixture model
-
Zhou, X., Wang, X., Dougherty, E.R., 2003b. Binarization of microarray data based on a mixture model. Molecular Cancer Therapeutics, 2: 679-684.
-
(2003)
Molecular Cancer Therapeutics
, vol.2
, pp. 679-684
-
-
Zhou, X.1
Wang, X.2
Dougherty, E.R.3
-
24
-
-
0344033642
-
Missing value estimation based on linear and nonlinear regression with Bayesian gene selection
-
Zhou, X., Wang, X., Dougherty, E.R., 2003c. Missing value estimation based on linear and nonlinear regression with Bayesian gene selection. Bioinformatics, 19: 2302-2307.
-
(2003)
Bioinformatics
, vol.19
, pp. 2302-2307
-
-
Zhou, X.1
Wang, X.2
Dougherty, E.R.3
-
25
-
-
1542637078
-
A Bayesian approach to nonlinear probit gene selection and classification
-
Zhou, X., Wang, X., Dougherty, E.R., 2004a. A Bayesian approach to nonlinear probit gene selection and classification. Journal of Franklin Institute, Special Issue on Genomics, Signal Processing and Statistics, 341: 137-156.
-
(2004)
Journal of Franklin Institute, Special Issue on Genomics, Signal Processing and Statistics
, vol.341
, pp. 137-156
-
-
Zhou, X.1
Wang, X.2
Dougherty, E.R.3
-
26
-
-
7044286462
-
Nonlinear-probit gene classification using mutual-information and wavelet-based feature selection
-
In press
-
Zhou, X., Wang, X., Dougherty, E.R., 2004b. Nonlinear-probit gene classification using mutual-information and wavelet-based feature selection. Biological Systems, in Press.
-
(2004)
Biological Systems
-
-
Zhou, X.1
Wang, X.2
Dougherty, E.R.3
-
27
-
-
27744552855
-
Gene selection using logistic regressions based on AIC, BIC and MDL criteria
-
Zhou, X., Wang, X., Dougherty, E.R., 2005. Gene selection using logistic regressions based on AIC, BIC and MDL criteria. Journal of New Mathematics and Natural Computation, 1(1): 129-145.
-
(2005)
Journal of New Mathematics and Natural Computation
, vol.1
, Issue.1
, pp. 129-145
-
-
Zhou, X.1
Wang, X.2
Dougherty, E.R.3
|