-
1
-
-
0034598746
-
Distinct types of diffuse large b-cell-lymphoma identified by gene expression profiling
-
Alizadeh, A., Eisen, M., Davis, R., Ma, C., Lossos, I., Rosenwald, A., Boldrick, J., Sabet, H., Tran, T., and Yu, X. (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.1
Eisen, M.2
Davis, R.3
Ma, C.4
Lossos, I.5
Rosenwald, A.6
Boldrick, J.7
Sabet, H.8
Tran, T.9
Yu, X.10
-
2
-
-
0037076322
-
Selection bias in gene extraction on the basis of microarray gene expression data
-
Ambroise, C. and McLachlan, G. (2002). Selection bias in gene extraction on the basis of microarray gene expression data. Proceedings of the National Academy of Sciences USA, 99:6562-6566.
-
(2002)
Proceedings of the National Academy of Sciences USA
, vol.99
, pp. 6562-6566
-
-
Ambroise, C.1
McLachlan, G.2
-
3
-
-
0040528764
-
Multinomial logistic regression algorithm
-
Bohning, D. (1992). Multinomial logistic regression algorithm. Ann. Inst. Statist. Math., 44(1): 197-200.
-
(1992)
Ann. Inst. Statist. Math.
, vol.44
, Issue.1
, pp. 197-200
-
-
Bohning, D.1
-
4
-
-
1642529511
-
Metagenes and molecular pattern discovery using matrix factorisation
-
Brunet, J., Tamayo, P., Golub, T., and Mesirov, J. (2004). Metagenes and molecular pattern discovery using matrix factorisation. Proceedings of the National Academy of Sciences USA, 101(12):4164-4169.
-
(2004)
Proceedings of the National Academy of Sciences USA
, vol.101
, Issue.12
, pp. 4164-4169
-
-
Brunet, J.1
Tamayo, P.2
Golub, T.3
Mesirov, J.4
-
5
-
-
0038391397
-
Boosting for tumor classification with gene expression data
-
Dettling, M. and Buhlmann, P. (2003). Boosting for tumor classification with gene expression data. Bioinformatics, 19(9): 1061-1069.
-
(2003)
Bioinformatics
, vol.19
, Issue.9
, pp. 1061-1069
-
-
Dettling, M.1
Buhlmann, P.2
-
6
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
Dudoit, S., Fridlyand, J., and Speed, I. (2002). Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of Americal Statistical Association, 97(457):77-87.
-
(2002)
Journal of Americal Statistical Association
, vol.97
, Issue.457
, pp. 77-87
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, I.3
-
7
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
Guyon, I., Weston, J., Barnhill, S., and 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
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
Khan, J., Wei, J., Ringner, M., Saal, L., Ladanyi, M., Westermann, F., Berthold, F., and Schwab, M. (2001). Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine, 7(6):673-679.
-
(2001)
Nature Medicine
, vol.7
, Issue.6
, pp. 673-679
-
-
Khan, J.1
Wei, J.2
Ringner, M.3
Saal, L.4
Ladanyi, M.5
Westermann, F.6
Berthold, F.7
Schwab, M.8
-
9
-
-
70350647708
-
Collaborative filtering with temporal dynamics
-
Koren, Y. (2009). Collaborative filtering with temporal dynamics. In KDD, pages 447-455.
-
(2009)
KDD
, pp. 447-455
-
-
Koren, Y.1
-
11
-
-
67649271550
-
A regularised method for selecting nested groups of relevant genes from microarray data
-
Mol, C., Mosci, S., Traskine, M., and Verri, A. (2009). A regularised method for selecting nested groups of relevant genes from microarray data. Journal of Computational Biology, 16(5):677-690.
-
(2009)
Journal of Computational Biology
, vol.16
, Issue.5
, pp. 677-690
-
-
Mol, C.1
Mosci, S.2
Traskine, M.3
Verri, A.4
-
12
-
-
84963856757
-
Minimum redundancy and maximum relevance feature selection and recent advances in cancer classification
-
Peng, H. and Ding, C. (2005). Minimum redundancy and maximum relevance feature selection and recent advances in cancer classification. In SIAM workshop on feature selection for data mining, pages 52-59.
-
(2005)
SIAM Workshop on Feature Selection for Data Mining
, pp. 52-59
-
-
Peng, H.1
Ding, C.2
-
13
-
-
33646181069
-
A novel ensemble machine learning for robust microarray data classification
-
Peng, Y. (2006). A novel ensemble machine learning for robust microarray data classification. Computers in Biology and Medicine, 36:553-573.
-
(2006)
Computers in Biology and Medicine
, vol.36
, pp. 553-573
-
-
Peng, Y.1
-
14
-
-
34347219009
-
Metagene projection for cross-platform, cross-species characterization of global transcriptional states
-
Tamayo, P., Scanfeld, D., Ebért, B., Gillette, M., Roberts, C., and Mesirov, J. (2007). Metagene projection for cross-platform, cross-species characterization of global transcriptional states. Proceedings of the National Academy of Sciences USA, 104(14):5959-5964.
-
(2007)
Proceedings of the National Academy of Sciences USA
, vol.104
, Issue.14
, pp. 5959-5964
-
-
Tamayo, P.1
Scanfeld, D.2
Ebért, B.3
Gillette, M.4
Roberts, C.5
Mesirov, J.6
-
15
-
-
33646377650
-
Recursive svm feature selection and sample classification for mass-spectrometry and microarray data
-
Zhang, X., Lu, X., Shi, Q., Xu, X., Leung, H., Harris, L., Iglehart, J., Miron, A., and Wong, W. (2006). Recursive svm feature selection and sample classification for mass-spectrometry and microarray data. BMC Bioinformatics, 7(197).
-
(2006)
BMC Bioinformatics
, vol.7
, Issue.197
-
-
Zhang, X.1
Lu, X.2
Shi, Q.3
Xu, X.4
Leung, H.5
Harris, L.6
Iglehart, J.7
Miron, A.8
Wong, W.9
|