-
1
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression
-
T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, and E. S. Lander. Molecular classification of cancer: Class discovery and class prediction by gene expression. Bioinformatics & Computational Biology, 286(5439):531-537, 1999.
-
(1999)
Bioinformatics & Computational Biology
, vol.286
, Issue.5439
, 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
Bloomfield, C.D.11
Lander, E.S.12
-
2
-
-
0033536012
-
Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays
-
U. Alon, N. Barkai, D. A. Notterman, K. Gish, S. Ybarra, D. Mack, and A. J. Levine. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. In Proceedings of the National Academy of Sciences of the United States of America, pages 6745-6750, 1999.
-
(1999)
Proceedings of the National Academy of Sciences of the United States of America
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.A.3
Gish, K.4
Ybarra, S.5
Mack, D.6
Levine, A.J.7
-
3
-
-
0037461021
-
Effective dimension reduction methods for tumor classification using gene expression data
-
A. Antoniadis, S. Lambert-Lacroix, and F. Leblanc. Effective dimension reduction methods for tumor classification using gene expression data. Bioinformatics, 19(5):563-570, 2003.
-
(2003)
Bioinformatics
, vol.19
, Issue.5
, pp. 563-570
-
-
Antoniadis, A.1
Lambert-Lacroix, S.2
Leblanc, F.3
-
4
-
-
2642537531
-
On partial least squares dimension reduction for microarray-based classification: A simulation study
-
D. V. Nguyen, D. M. David, and M. Rocke. On partial least squares dimension reduction for microarray-based classification: a simulation study. Computational Statistics & Data Analysis, 46(3):407-425, 2004.
-
(2004)
Computational Statistics & Data Analysis
, vol.46
, Issue.3
, pp. 407-425
-
-
Nguyen, D.V.1
David, D.M.2
Rocke, M.3
-
6
-
-
0001681052
-
Collinearity problem in linear regression. the partial least squares (pls) approach to generalized inverses
-
S. Wold, A. Ruhe, H. Wold, and W. Dunn. Collinearity problem in linear regression. the partial least squares (pls) approach to generalized inverses. SIAM Journal of Scientific and Statistical Computations, 5(3):735-743, 1984.
-
(1984)
SIAM Journal of Scientific and Statistical Computations
, vol.5
, Issue.3
, pp. 735-743
-
-
Wold, S.1
Ruhe, A.2
Wold, H.3
Dunn, W.4
-
7
-
-
33745558659
-
-
Anne-Laure Boulesteix. Reader's reaction to 'dimension reduction for classification with gene expression microarray data' by dai et al (2006). Statistical Applications in Genetics and Molecular Biology, 5(1):Article 16, 2006.
-
Anne-Laure Boulesteix. Reader's reaction to 'dimension reduction for classification with gene expression microarray data' by dai et al (2006). Statistical Applications in Genetics and Molecular Biology, 5(1):Article 16, 2006.
-
-
-
-
8
-
-
0036740519
-
Multi-class cancer classification via partial least squares with gene expression profiles
-
D. V. Nguyen and D. M. Rocke. Multi-class cancer classification via partial least squares with gene expression profiles. Bioinformatics, 18(9):1216-1226, 2002.
-
(2002)
Bioinformatics
, vol.18
, Issue.9
, pp. 1216-1226
-
-
Nguyen, D.V.1
Rocke, D.M.2
-
9
-
-
0036166439
-
Tumor classification by partial least squares using microarray gene expression data
-
D. V. Nguyen and D. M. Rocke. Tumor classification by partial least squares using microarray gene expression data. Bioinformatics, 18(1):39-50, 2002.
-
(2002)
Bioinformatics
, vol.18
, Issue.1
, pp. 39-50
-
-
Nguyen, D.V.1
Rocke, D.M.2
-
10
-
-
0037350844
-
Partial least squares for discrimination
-
M. Barker and W. Rayens. Partial least squares for discrimination. Journal of Chemometrics, 17(3):166-173, 2003.
-
(2003)
Journal of Chemometrics
, vol.17
, Issue.3
, pp. 166-173
-
-
Barker, M.1
Rayens, W.2
-
13
-
-
35248885559
-
Text classification based on partial least square analysis
-
Xue-Qiang Zeng, Ming-Wen Wang, and Jian-Yun Nie. Text classification based on partial least square analysis. In The 22nd Annual ACM Symposium on Applied Computing, Special Track on Information Access and Retrieval, pages 834-838, 2007.
-
(2007)
The 22nd Annual ACM Symposium on Applied Computing, Special Track on Information Access and Retrieval
, pp. 834-838
-
-
Zeng, X.-Q.1
Wang, M.-W.2
Nie, J.-Y.3
-
15
-
-
0035965476
-
Pls-regression: A basic tool of chemometrics
-
S. Wold, M. Sjostrom, and L. Eriksson. Pls-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems, 58(22):109-130, 2001.
-
(2001)
Chemometrics and Intelligent Laboratory Systems
, vol.58
, Issue.22
, pp. 109-130
-
-
Wold, S.1
Sjostrom, M.2
Eriksson, L.3
-
19
-
-
18244409687
-
Gene expression profiling predicts clinical outcome of breast cancer
-
L. V. Van't Veer, H. Dai, M. V. Vijver, Y. He, A. Hart, M. Mao, H. Peterse, K.D. Kooy, M. Marton, A. Witteveen, G. Schreiber, R. Kerkhoven, C. Roberts, P. Linsley, R. Bernards, and S. Friend. Gene expression profiling predicts clinical outcome of breast cancer. Nature, 415(6871):530-536, 2002.
-
(2002)
Nature
, vol.415
, Issue.6871
, pp. 530-536
-
-
Van't Veer, L.V.1
Dai, H.2
Vijver, M.V.3
He, Y.4
Hart, A.5
Mao, M.6
Peterse, H.7
Kooy, K.D.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
-
20
-
-
0037165140
-
Prediction of central nervous system embryonal tumour outcome based on gene expression
-
S. L. Pomeroy, P. Tamayo, M. Gaasenbeek, L. M. Sturla, M. Angelo, M. E. McLaughlin, J. Y. Kim, L. C. Goumnerovak, P. M. Blackk, C. Lau, J. C. Allen, D. Zagzag, J. M. Olson, T. Curran, and C. Wetmo. Prediction of central nervous system embryonal tumour outcome based on gene expression. Nature, 415(6870):436-442, 2002.
-
(2002)
Nature
, vol.415
, Issue.6870
, pp. 436-442
-
-
Pomeroy, S.L.1
Tamayo, P.2
Gaasenbeek, M.3
Sturla, L.M.4
Angelo, M.5
McLaughlin, M.E.6
Kim, J.Y.7
Goumnerovak, L.C.8
Blackk, P.M.9
Lau, C.10
Allen, J.C.11
Zagzag, D.12
Olson, J.M.13
Curran, T.14
Wetmo, C.15
-
21
-
-
0034598746
-
-
Ash A. Alizadeh, Michael B. Eisen, R. Eric Davis, Chi Ma, Izidore S. Lossos, Andreas Rosenwald, Jennifer C. Boldrick, Hajeer Sabet, Truc Tran, Xin Yu, John I. Powell, Liming Yang, Gerald E. Marti, Troy Moore, James Hudson Jr, Lisheng Lu, David B. Lewis, Robert Tibshirani, Gavin Sherlock, Wing C. Chan, Timothy C. Greiner, Dennis D. Weisenburger, James O. Armitage, Roger Warnke, Ronald Levy, Wyndham Wilson, Michael R. Grever, John C. Byrd, David Botstein, Patrick O. Brown, and Louis M. Staudt. Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature, 403:503-511, 2000.
-
Ash A. Alizadeh, Michael B. Eisen, R. Eric Davis, Chi Ma, Izidore S. Lossos, Andreas Rosenwald, Jennifer C. Boldrick, Hajeer Sabet, Truc Tran, Xin Yu, John I. Powell, Liming Yang, Gerald E. Marti, Troy Moore, James Hudson Jr, Lisheng Lu, David B. Lewis, Robert Tibshirani, Gavin Sherlock, Wing C. Chan, Timothy C. Greiner, Dennis D. Weisenburger, James O. Armitage, Roger Warnke, Ronald Levy, Wyndham Wilson, Michael R. Grever, John C. Byrd, David Botstein, Patrick O. Brown, and Louis M. Staudt. Distinct types of diffuse large b-cell lymphoma identified by gene expression profiling. Nature, 403:503-511, 2000.
-
-
-
-
22
-
-
0037116832
-
Use of proteomic patterns in serum to identify ovarian cancer
-
E. F. Petricoin, A. M. Ardekani, B. A. Hitt, P. J. Levine, V. A. Fusaro, S. M. Steinberg, G. B. Mills, C. Simone, D.A. Fishman, E. C. Kohn, and L.A. Liotta. Use of proteomic patterns in serum to identify ovarian cancer. The Lancet, 359(9306):572-577, 2002.
-
(2002)
The Lancet
, vol.359
, Issue.9306
, pp. 572-577
-
-
Petricoin, E.F.1
Ardekani, A.M.2
Hitt, B.A.3
Levine, P.J.4
Fusaro, V.A.5
Steinberg, S.M.6
Mills, G.B.7
Simone, C.8
Fishman, D.A.9
Kohn, E.C.10
Liotta, L.A.11
-
23
-
-
19044391072
-
Gene expression correlates of clinical prostate cancer behavior
-
D. Singh, P. G. Febbo, K. Ross, D. G. Jackson, J. Manola, C. Ladd, P. Tamayo, A. A. Renshaw, A. V. D'Amico, J.P. Richie, E. S. Lander, M. Loda, P. W. Kantoff, T. R. Golub, and W. R. Sellers. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell, 1(2):203-209, 2002.
-
(2002)
Cancer Cell
, vol.1
, Issue.2
, pp. 203-209
-
-
Singh, D.1
Febbo, P.G.2
Ross, K.3
Jackson, D.G.4
Manola, J.5
Ladd, C.6
Tamayo, P.7
Renshaw, A.A.8
D'Amico, A.V.9
Richie, J.P.10
Lander, E.S.11
Loda, M.12
Kantoff, P.W.13
Golub, T.R.14
Sellers, W.R.15
-
24
-
-
0000259511
-
Approximate statistical tests for comparing supervised classification learning algorithms
-
Thomas G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Computation, 10:1895-1923, 1998.
-
(1998)
Neural Computation
, vol.10
, pp. 1895-1923
-
-
Dietterich, T.G.1
|