-
1
-
-
0033569406
-
Molecular classification of cancer: class discovery and class prediction by gene expression monitoring
-
Golub T., Slonim D., Tamayo P., Huard C., Gaasenbeek M., Mesirov J., Coller H., Loh M., Downing J., Caligiuri M., Bloomfield C., and Lander E. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286 (1999) 531-537
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.1
Slonim, D.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.6
Coller, H.7
Loh, M.8
Downing, J.9
Caligiuri, M.10
Bloomfield, C.11
Lander, E.12
-
2
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
van't Veer L., Dai H., Van de Vijver M., He Y., Hart A., Mao M., Peterse H., Van der Kooy K., Marton M., Witteveen A., Schreiber G., Kerkhoven R., Roberts C., Linsley P., Bernards R., and Friend S. Gene expression profiling predicts clinical outcome of breast cancer. Nature 415 (2002) 530-536
-
(2002)
Nature
, vol.415
, pp. 530-536
-
-
van't Veer, L.1
Dai, H.2
Van de Vijver, M.3
He, Y.4
Hart, A.5
Mao, M.6
Peterse, H.7
Van der Kooy, K.8
Marton, M.9
Witteveen, A.10
Schreiber, G.11
Kerkhoven, R.12
Roberts, C.13
Linsley, P.14
Bernards, R.15
Friend, S.16
-
3
-
-
0035076190
-
Small sample issues for microarray-based classification
-
Dougherty E.R. Small sample issues for microarray-based classification. Comparative Functional Genomics 2 (2001) 28-34
-
(2001)
Comparative Functional Genomics
, vol.2
, pp. 28-34
-
-
Dougherty, E.R.1
-
5
-
-
0036141951
-
Finding genes in the c2c12 osteogenic pathway by k-nearest-neighbor classification of expression data
-
Theilhaber J., Connolly T., Roman-Roman S., Bushnell S., Jackson A., Call K., Garcia T., and Baron R. Finding genes in the c2c12 osteogenic pathway by k-nearest-neighbor classification of expression data. Genome Res. 12 1 (2002) 165-176
-
(2002)
Genome Res.
, vol.12
, Issue.1
, pp. 165-176
-
-
Theilhaber, J.1
Connolly, T.2
Roman-Roman, S.3
Bushnell, S.4
Jackson, A.5
Call, K.6
Garcia, T.7
Baron, R.8
-
6
-
-
25444446813
-
Evaluation of normalization methods for cdna microarray data by k-nn classification
-
Wu W., Xing E., Mian I., and Bissell M. Evaluation of normalization methods for cdna microarray data by k-nn classification. BMC Bioinformatics 6 191 (2005) 1-21
-
(2005)
BMC Bioinformatics
, vol.6
, Issue.191
, pp. 1-21
-
-
Wu, W.1
Xing, E.2
Mian, I.3
Bissell, M.4
-
7
-
-
0001845324
-
Nearest neighbor pattern classification
-
Cover T., and Hart P. Nearest neighbor pattern classification. Ann. Statist. 13 (1967) 57-67
-
(1967)
Ann. Statist.
, vol.13
, pp. 57-67
-
-
Cover, T.1
Hart, P.2
-
8
-
-
84994684889
-
-
S. Salzberg, Distance metrics for instance-based Learning, Lecture Notes in Computer Science, vol. 542, 1991, Springer, Berlin, pp. 399-408.
-
-
-
-
9
-
-
1942517347
-
-
A. Bar-Hillel, T. Hertz, N. Shental, D. Weinshall, Learning distance functions using equivalence relations, in: Proceeding of the 20th International Conference on Machine Learning (ICML), 2003, pp. 11-18.
-
-
-
-
10
-
-
84898997673
-
Learning a distance metric from relative comparisons
-
Thrun S., Saul L.K., and Schölkopf B. (Eds), MIT Press, Cambridge, MA
-
Schultz M., and Joachims T. Learning a distance metric from relative comparisons. In: Thrun S., Saul L.K., and Schölkopf B. (Eds). Advances in Neural Information Processing Systems (NIPS) (2004), MIT Press, Cambridge, MA 41-48
-
(2004)
Advances in Neural Information Processing Systems (NIPS)
, pp. 41-48
-
-
Schultz, M.1
Joachims, T.2
-
11
-
-
84880784532
-
-
Z. Zhang, J. Kwok, D.-Y. Yeung, Parametric distance metric learning with label information, in: Proceeding of the 18th International Joint Conference on Artificial Intelligence (IJCAI), 2003, pp. 1450-1452.
-
-
-
-
12
-
-
0001020875
-
Performance evaluation of the nearest feature line method in image classification and retrieval
-
Li S., Chan K., and Wang C. Performance evaluation of the nearest feature line method in image classification and retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 22 11 (2000) 1335-1349
-
(2000)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.22
, Issue.11
, pp. 1335-1349
-
-
Li, S.1
Chan, K.2
Wang, C.3
-
13
-
-
0033096854
-
Face recognition using the nearest feature line method
-
Li S., and Lu J. Face recognition using the nearest feature line method. IEEE Trans. Neural Networks 10 2 (1999) 439-443
-
(1999)
IEEE Trans. Neural Networks
, vol.10
, Issue.2
, pp. 439-443
-
-
Li, S.1
Lu, J.2
-
14
-
-
84898980366
-
K-local hyperplane and convex distance nearest neighbor algorithms
-
Dietterich T.G., Becker S., and Ghahramani Z. (Eds), MIT Press, Cambridge, MA
-
Vincent P., and Bengio Y. K-local hyperplane and convex distance nearest neighbor algorithms. In: Dietterich T.G., Becker S., and Ghahramani Z. (Eds). Advances in Neural Information Processing Systems (NIPS) vol. 14 (2002), MIT Press, Cambridge, MA 985-992
-
(2002)
Advances in Neural Information Processing Systems (NIPS)
, vol.14
, pp. 985-992
-
-
Vincent, P.1
Bengio, Y.2
-
15
-
-
0003137923
-
Efficient pattern recognition using a 55 new transformation distance
-
Hanson S.J., Cowan J.D., and Giles C.L. (Eds), Morgan Kaufmann Press, Los Altos, CA
-
Simard P., LeCun Y., and Denker J. Efficient pattern recognition using a 55 new transformation distance. In: Hanson S.J., Cowan J.D., and Giles C.L. (Eds). Advances in Neural Information Processing Systems (NIPS) 57 vol. 5 (1993), Morgan Kaufmann Press, Los Altos, CA 50-58
-
(1993)
Advances in Neural Information Processing Systems (NIPS)
, vol.57 5
, pp. 50-58
-
-
Simard, P.1
LeCun, Y.2
Denker, J.3
-
16
-
-
0034467942
-
Transformation invariance in pattern recognition ctangent distance and tangent propagation
-
Simard P., LeCun Y., Denker J.S., and Victorri B. Transformation invariance in pattern recognition ctangent distance and tangent propagation. Int. J. Imaging System Technol. 11 3 (2001) 181-194
-
(2001)
Int. J. Imaging System Technol.
, vol.11
, Issue.3
, pp. 181-194
-
-
Simard, P.1
LeCun, Y.2
Denker, J.S.3
Victorri, B.4
-
17
-
-
84885879587
-
Learning prototype models for tangent distance
-
Tesauro G., Touretzky D.S., and Leen T.K. (Eds), MIT Press, Cambridge, MA
-
Hastie T., Simard P., and Saeckinger E. Learning prototype models for tangent distance. In: Tesauro G., Touretzky D.S., and Leen T.K. (Eds). Advances in Neural Information Processing Systems (NIPS) vol. 7 (1995), MIT Press, Cambridge, MA 999-1006
-
(1995)
Advances in Neural Information Processing Systems (NIPS)
, vol.7
, pp. 999-1006
-
-
Hastie, T.1
Simard, P.2
Saeckinger, E.3
-
18
-
-
33748430887
-
-
O. Okun, Protein fold recognition with k-local hyperplane distance nearest neighbor algorithm, in: Proceedings of the Second European Workshop on Data Mining and Text Mining for Bioinformatics, Pisa, Italy, 2004, pp. 51-57.
-
-
-
-
21
-
-
14344265533
-
-
J. Lee, J. Wang, C. Zhang, Z. Bian, Probabilistic tangent subspace: a unified view, in: Proceeding of the 21st International Conference on Machine Learning (ICML), 2004, pp. 528-535.
-
-
-
-
22
-
-
0000324990
-
An alternative perspective on adaptive independent component analysis algorithms
-
Girolami M. An alternative perspective on adaptive independent component analysis algorithms. Neural Comput. 10 8 (1998) 2103-2114
-
(1998)
Neural Comput.
, vol.10
, Issue.8
, pp. 2103-2114
-
-
Girolami, M.1
-
23
-
-
0032280519
-
Boosting the margin: a new explanation for the effectiveness of voting methods
-
Schapire R., Freund Y., Bartlett P., and Lee W.S. Boosting the margin: a new explanation for the effectiveness of voting methods. Ann. Statist. 26 5 (1998) 1651-1686
-
(1998)
Ann. Statist.
, vol.26
, Issue.5
, pp. 1651-1686
-
-
Schapire, R.1
Freund, Y.2
Bartlett, P.3
Lee, W.S.4
-
24
-
-
0001341735
-
Introduction to Monte Carlo methods
-
Jordan M.I. (Ed), Kluwer Academic Press, Dordrecht
-
MacKay D.J.C. Introduction to Monte Carlo methods. In: Jordan M.I. (Ed). Learning in Graphical Models (1998), Kluwer Academic Press, Dordrecht 175-204
-
(1998)
Learning in Graphical Models
, pp. 175-204
-
-
MacKay, D.J.C.1
-
26
-
-
0035478854
-
Random forests
-
Breiman L. Random forests. Mach. Learning 45 (2001) 5-32
-
(2001)
Mach. Learning
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
27
-
-
0032139235
-
The random subspace method for constructing decision forests
-
Ho T.K. The random subspace method for constructing decision forests. IEEE Trans. Pattern Anal. Mach. Intell. 20 8 (1998) 832-844
-
(1998)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.20
, Issue.8
, pp. 832-844
-
-
Ho, T.K.1
-
28
-
-
33748423307
-
-
S.D. Bay, Combining nearest neighbor classifiers through multiple feature subsets, in: Proceedings of the 15th International Conference on Machine Learning (ICML), 1998, pp. 37-45.
-
-
-
-
29
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
Alon A., Barkai N., Notterman D., Gish K., Ybarra S., Mack D., and Levine A. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Natl. Acad. Sci. 96 (1999) 6745-6750
-
(1999)
Proc. Natl. Acad. Sci.
, vol.96
, pp. 6745-6750
-
-
Alon, A.1
Barkai, N.2
Notterman, D.3
Gish, K.4
Ybarra, S.5
Mack, D.6
Levine, A.7
-
30
-
-
0037443891
-
Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection
-
Iizuka N., Oka M., Yamada-Okabe H., Nishida M., Maeda Y., Mori N., Takao T., Tamesa T., Tangoku A., Tabuchi H., Hamada K., Nakayama H., Ishitsuka H., Miyamoto T., Hirabayashi A., Uchimura S., and Hamamoto Y. Oligonucleotide microarray for prediction of early intrahepatic recurrence of hepatocellular carcinoma after curative resection. Lancet 361 (2003) 923-929
-
(2003)
Lancet
, vol.361
, pp. 923-929
-
-
Iizuka, N.1
Oka, M.2
Yamada-Okabe, H.3
Nishida, M.4
Maeda, Y.5
Mori, N.6
Takao, T.7
Tamesa, T.8
Tangoku, A.9
Tabuchi, H.10
Hamada, K.11
Nakayama, H.12
Ishitsuka, H.13
Miyamoto, T.14
Hirabayashi, A.15
Uchimura, S.16
Hamamoto, Y.17
-
31
-
-
0037381008
-
Gene expression-based classification of malignant gliomas correlates better with survival than histological classification
-
Nutt C., Mani D., Betensky R., Tamayo P., Cairncross J., Ladd C., Pohl U., Hartmann C., McLaughlin M., Batchelor T., Black P., von Deimling A., Pomeroy S., Golub T., and Louis D. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Cancer Res. 63 7 (2003) 1602-1607
-
(2003)
Cancer Res.
, vol.63
, Issue.7
, 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
-
32
-
-
19044391072
-
Gene expression correlates of clinical prostate cancer behavior
-
Singh D., Febbo P., Ross K., Jackson D., Manola J., Ladd C., Tamayo P., Renshaw A., D'Amico A., Richie J., Lander E., Loda M., Kantoff P., Golub T., and Sellers W. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1 2 (2003) 203-209
-
(2003)
Cancer Cell
, vol.1
, Issue.2
, pp. 203-209
-
-
Singh, D.1
Febbo, P.2
Ross, K.3
Jackson, D.4
Manola, J.5
Ladd, C.6
Tamayo, P.7
Renshaw, A.8
D'Amico, A.9
Richie, J.10
Lander, E.11
Loda, M.12
Kantoff, P.13
Golub, T.14
Sellers, W.15
-
33
-
-
0033636139
-
Support vector machines classification and validation of cancer tissue samples using microarray expression data
-
Furey T., Cristianini N., Duffy N., Bednarski D., Schummer M., and Haussler D. Support vector machines classification and validation of cancer tissue samples using microarray expression data. Bioinformatics 16 (2000) 906-914
-
(2000)
Bioinformatics
, vol.16
, pp. 906-914
-
-
Furey, T.1
Cristianini, N.2
Duffy, N.3
Bednarski, D.4
Schummer, M.5
Haussler, D.6
-
34
-
-
10244252786
-
Systematic benchmarking of microarray data classification
-
Pochet N., Smet F.D., Suykens J., and Moor B.D. Systematic benchmarking of microarray data classification. Bioinformatics 20 17 (2004) 3185-3195
-
(2004)
Bioinformatics
, vol.20
, Issue.17
, pp. 3185-3195
-
-
Pochet, N.1
Smet, F.D.2
Suykens, J.3
Moor, B.D.4
-
36
-
-
16344388210
-
Bolstered error estimation provides superior feature-set ranking for small samples
-
Sima C., Braga-Neto U., and Dougherty E. Bolstered error estimation provides superior feature-set ranking for small samples. Bioinformatics 21 7 (2005) 1046-1054
-
(2005)
Bioinformatics
, vol.21
, Issue.7
, pp. 1046-1054
-
-
Sima, C.1
Braga-Neto, U.2
Dougherty, E.3
-
37
-
-
18744413287
-
Estimating misclassification error with small samples via bootstrap cross-validation
-
Fu W.J., Carroll R.J., and Wang S. Estimating misclassification error with small samples via bootstrap cross-validation. Bioinformatics 21 9 (2005) 1979-1986
-
(2005)
Bioinformatics
, vol.21
, Issue.9
, pp. 1979-1986
-
-
Fu, W.J.1
Carroll, R.J.2
Wang, S.3
-
38
-
-
33748419145
-
-
C.-C. Chang, C.-J. Lin, Libsvm: a library for support vector machines, Technical Report, 〈http://www.csie.ntu.edu.tw/∼cjlin/〉, 2004.
-
-
-
-
44
-
-
0242410408
-
-
M.A. Hall, G. Holmes, Benchmarking attribute selection techniques for discrete class data mining. IEEE Trans. Knowl. Data En. 15 (3) (2003) 1-16.
-
-
-
|