-
1
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
U. Alon, N. Barkai, and D.A. Notterman et al. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. PNAS, 96:6745-50, 1999.
-
(1999)
PNAS
, vol.96
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.A.3
-
3
-
-
13244252329
-
A combinational feature selection and ensemble neural network method for classification of gene expression data
-
B.Liu, Q. Cui, and T.Jiang et al. A combinational feature selection and ensemble neural network method for classification of gene expression data. BMC Bioinformatics, 5(136), 2004.
-
(2004)
BMC Bioinformatics
, vol.5
, Issue.136
-
-
Liu, B.1
Cui, Q.2
Jiang, T.3
-
4
-
-
0030211964
-
Bagging predictors
-
L. Breiman. Bagging predictors. Machine Learning, 24(2): 123-140, 1996.
-
(1996)
Machine Learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
5
-
-
0346786584
-
Arcing classifiers
-
L. Breiman. Arcing classifiers. The Annals of Statistics, 26(3):801-849, 1998.
-
(1998)
The Annals of Statistics
, vol.26
, Issue.3
, pp. 801-849
-
-
Breiman, L.1
-
6
-
-
0034602774
-
Knowledge-based analysis of microarray gene expression data by using support vector machines
-
M. Brown, W. Grundy, D. Lin, N. Cristianini, C. Sugnet, T. Furey, M. Jr, and D. Haussler. Knowledge-based analysis of microarray gene expression data by using support vector machines. In Proc. Natl. Acad. Sci., volume 97, pages 262-267, 2000.
-
(2000)
Proc. Natl. Acad. Sci.
, vol.97
, pp. 262-267
-
-
Brown, M.1
Grundy, W.2
Lin, D.3
Cristianini, N.4
Sugnet, C.5
Furey Jr., T.M.6
Haussler, D.7
-
9
-
-
0038391397
-
Boosting for tumor classification with gene expression data
-
M. Dettling and P. Buhlmann. Boosting for tumor classification with gene expression data. BMC Bioinformatics, 19:1061-1069, 2003.
-
(2003)
BMC Bioinformatics
, vol.19
, pp. 1061-1069
-
-
Dettling, M.1
Buhlmann, P.2
-
10
-
-
0036489046
-
Comparison of discrimination methods for the classification of tumors using gene expression data
-
S. Dudoit, J. Fridlyand, and T.P. Speed. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 97(457), 2002.
-
(2002)
Journal of the American Statistical Association
, vol.97
, Issue.457
-
-
Dudoit, S.1
Fridlyand, J.2
Speed, T.P.3
-
11
-
-
0033031437
-
Dna arrays for analysis of gene expression
-
M.B. Eisen and P.O. Brown. Dna arrays for analysis of gene expression. Methods Enzymbol, (303):179-205, 1999.
-
(1999)
Methods Enzymbol
, Issue.303
, pp. 179-205
-
-
Eisen, M.B.1
Brown, P.O.2
-
12
-
-
2342622786
-
Leave one out error, stability, and generalization of voting combinations of classifiers
-
T. Evgeniou, M. Pontil, and A. Elisseeff. Leave one out error, stability, and generalization of voting combinations of classifiers. Mach. Learn., 55(1):71-97, 2004.
-
(2004)
Mach. Learn.
, vol.55
, Issue.1
, pp. 71-97
-
-
Evgeniou, T.1
Pontil, M.2
Elisseeff, A.3
-
13
-
-
0033636139
-
Support vector machine classification and validation of cancer tissue samples using microarray expression data
-
T. S. Furey, N. Christianini, N. Duffy, D. W. Bednarski, M. Schummer, and D. Hauessler. Support vector machine classification and validation of cancer tissue samples using microarray expression data. Bioinformatics, 16(10) :906-914, 2000.
-
(2000)
Bioinformatics
, vol.16
, Issue.10
, pp. 906-914
-
-
Furey, T.S.1
Christianini, N.2
Duffy, N.3
Bednarski, D.W.4
Schummer, M.5
Hauessler, D.6
-
14
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
T. R. Golub, D. K. Slonim, and P. Tamayo et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 286:531-7, 1999.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
-
15
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene selection for cancer classification using support vector machines. Mach. Learn., 46(1-3):389-422, 2002.
-
(2002)
Mach. Learn.
, vol.46
, Issue.1-3
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
Vapnik, V.4
-
16
-
-
24644442887
-
Ensemble feature ranking
-
K. Jong, J. Mary, A. Cornuejols, E. Marchiori, and M. Sebag. Ensemble feature ranking. In Proceedings Eur. Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD 2004, 2004.
-
(2004)
Proceedings Eur. Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML/PKDD 2004
-
-
Jong, K.1
Mary, J.2
Cornuejols, A.3
Marchiori, E.4
Sebag, M.5
-
17
-
-
0034954414
-
Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
-
J. Khan, J. S. Wei, M. Ringner, and et al. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks. Nature Medicine, 7:673-679, 2001.
-
(2001)
Nature Medicine
, vol.7
, pp. 673-679
-
-
Khan, J.1
Wei, J.S.2
Ringner, M.3
-
18
-
-
0035664710
-
Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method
-
Li, Darden, Weinberg, Levine, and Pedersen. Gene assessment and sample classification for gene expression data using a genetic algorithm/k-nearest neighbor method. Combinatorial Chemistry and High Throughput Screening, 4(8):727-739, 2001.
-
(2001)
Combinatorial Chemistry and High Throughput Screening
, vol.4
, Issue.8
, pp. 727-739
-
-
Li1
Darden2
Weinberg3
Levine4
Pedersen5
-
19
-
-
0034730186
-
Ongoing immunoglobulin somatic mutation in germinal center b cell-like but not in activated b cell-like diffuse large cell lymphomas
-
I. Lossos, A. Alizadeh, and M. Eisen et al. Ongoing immunoglobulin somatic mutation in germinal center b cell-like but not in activated b cell-like diffuse large cell lymphomas. In Proc Natl Acad Sci USA, volume 97, pages 10209-10213, 2000.
-
(2000)
Proc Natl Acad Sci USA
, vol.97
, pp. 10209-10213
-
-
Lossos, I.1
Alizadeh, A.2
Eisen, M.3
-
21
-
-
1542559402
-
Support vector machine applications in computational biology
-
B. Schoelkopf, K. Tsuda, and J.-P. Vert, editors, MIT Press
-
W.S. Noble. Support vector machine applications in computational biology. In B. Schoelkopf, K. Tsuda, and J.-P. Vert, editors, Kernel Methods in Computational Biology, pages 71-92. MIT Press, 2004.
-
(2004)
Kernel Methods in Computational Biology
, pp. 71-92
-
-
Noble, W.S.1
-
22
-
-
0032848246
-
Comparative hybridization of an array of 21,500 ovarian cdnas for the discovery of genes overexpressed in ovarian carcinomas
-
M. Schummer, W. V. Ng, and R. E. Bumgarnerd et al. Comparative hybridization of an array of 21,500 ovarian cdnas for the discovery of genes overexpressed in ovarian carcinomas. Gene, 238(2) :375-85, 1999.
-
(1999)
Gene
, vol.238
, Issue.2
, pp. 375-385
-
-
Schummer, M.1
Ng, W.V.2
Bumgarnerd, R.E.3
-
23
-
-
2942596534
-
Ensemble machine learning on gene expression data for cancer classification
-
A.C. Tan and D. Gilbert. Ensemble machine learning on gene expression data for cancer classification. Applied Bioinformatics, 2((3 Suppl)):75-83, 2003.
-
(2003)
Applied Bioinformatics
, vol.2
, Issue.3 SUPPL.
, pp. 75-83
-
-
Tan, A.C.1
Gilbert, D.2
-
25
-
-
0037096859
-
Artificial neural networks and gene filtering distinguish between global gene expression profiles of barrett's esophagus and esophageal cancer
-
Y. Xu, F. M. Selaru, and J. Yin et al. Artificial neural networks and gene filtering distinguish between global gene expression profiles of barrett's esophagus and esophageal cancer. Cancer Research, 62(12):3493-3497, 2002.
-
(2002)
Cancer Research
, vol.62
, Issue.12
, pp. 3493-3497
-
-
Xu, Y.1
Selaru, F.M.2
Yin, J.3
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