-
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, 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. Cell Biology, 96:6745-6750, 1999.
-
(1999)
Cell Biology
, vol.96
, 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
-
2
-
-
36549025377
-
Analysis and identification of β-turn types using multinomial logistic regression and artificial neural network
-
M. P. Asgary, S. Jahandideh, P. Abdolmaleki, and A. Kazemnejad. Analysis and identification of β-turn types using multinomial logistic regression and artificial neural network. Bioinformatics, 23(23):3125-3130, 2007.
-
(2007)
Bioinformatics
, vol.23
, Issue.23
, pp. 3125-3130
-
-
Asgary, M.P.1
Jahandideh, S.2
Abdolmaleki, P.3
Kazemnejad, A.4
-
7
-
-
3242708140
-
Least angle regression
-
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani. Least angle regression. Annals of Statistics, 32(2):407-499, 2004.
-
(2004)
Annals of Statistics
, vol.32
, Issue.2
, pp. 407-499
-
-
Efron, B.1
Hastie, T.2
Johnstone, I.3
Tibshirani, R.4
-
8
-
-
70350676486
-
-
S. Eyheramendy, E. Genkin, W. Ju, D.D. Lewis, and D. Madigan. Sparse bayesian classifiers for text categorization. Technical report
-
S. Eyheramendy, E. Genkin, W. Ju, D.D. Lewis, and D. Madigan. Sparse bayesian classifiers for text categorization. Technical report.
-
-
-
-
9
-
-
0034164230
-
Additive logistic regression: A statistical view of boosting
-
J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. Annals of Statistics, 28:337-407, 2000.
-
(2000)
Annals of Statistics
, vol.28
, pp. 337-407
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
10
-
-
62549130467
-
Regularized paths for generalized linear models via coordinate descent
-
Technical report, Department of Statistics, Stanford University
-
J. Friedman, T. Hastie, and R. Tibshirani. Regularized paths for generalized linear models via coordinate descent. Technical report, Department of Statistics, Stanford University, 2008.
-
(2008)
-
-
Friedman, J.1
Hastie, T.2
Tibshirani, R.3
-
12
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
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 monitoring. Science, 286:531-537, 1999.
-
(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
Bloomfield, C.D.11
Lander, E.S.12
-
13
-
-
53349163971
-
A fixed-point continuation method for l1-regularized minimization with applications to compressed sensing
-
Technical report, CAAM TR07-07
-
E.T. Hale, W. Yin, and Y. Zhang. A fixed-point continuation method for l1-regularized minimization with applications to compressed sensing. Technical report, CAAM TR07-07, 2007.
-
(2007)
-
-
Hale, E.T.1
Yin, W.2
Zhang, Y.3
-
15
-
-
30044437592
-
A fast dual algorithm for kernel logistic regression
-
S. S. Keerthi, K. B. Duan, S. K. Shevade, and A. N. Poo. A fast dual algorithm for kernel logistic regression. Machine Learning,61:151-165, 2005.
-
(2005)
Machine Learning
, vol.61
, pp. 151-165
-
-
Keerthi, S.S.1
Duan, K.B.2
Shevade, S.K.3
Poo, A.N.4
-
16
-
-
34547688865
-
An interior-point method for large-scale l1-regularized logistic regression
-
K. Koh, S. Kim, and S. Boyd. An interior-point method for large-scale l1-regularized logistic regression. Journal of Machine Learning Research, 8:1519-1555, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1519-1555
-
-
Koh, K.1
Kim, S.2
Boyd, S.3
-
19
-
-
84876811202
-
Rcv1: A new benchmark collection for text categorization research
-
D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Rcv1: A new benchmark collection for text categorization research. Journal of Machine Learning Research, 5:361-397, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 361-397
-
-
Lewis, D.D.1
Yang, Y.2
Rose, T.G.3
Li, F.4
-
20
-
-
34548125448
-
Logistic regression for disease classification using microarray data
-
J. G. Liao and K. Chin. Logistic regression for disease classification using microarray data. Bioinformatics, 23(15):1945-1951, 2007.
-
(2007)
Bioinformatics
, vol.23
, Issue.15
, pp. 1945-1951
-
-
Liao, J.G.1
Chin, K.2
-
23
-
-
21244446518
-
A comparison of numerical optimizers for logistic regression
-
Technical report
-
T. P. Minka. A comparison of numerical optimizers for logistic regression. Technical report, 2007.
-
(2007)
-
-
Minka, T.P.1
-
24
-
-
70049091215
-
Efficient methods in convex programming
-
A. Nemirovski. Efficient methods in convex programming. Lecture Notes, 1994.
-
(1994)
Lecture Notes
-
-
Nemirovski, A.1
-
26
-
-
14344249889
-
Feature selection, l1 vs. l2 regularization, and rotational invariance
-
A.Y. Ng. Feature selection, l1 vs. l2 regularization, and rotational invariance. In International Conference on Machine Learning, 2004.
-
(2004)
International Conference on Machine Learning
-
-
Ng, A.Y.1
-
28
-
-
1942418470
-
Grafting: Fast, incremental feature selection by gradient descent in function space
-
S. Perkins, K. Lacker, and J. Theiler. Grafting: fast, incremental feature selection by gradient descent in function space. Journal of Machine Learning Research, 3:1333-1356, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.3
, pp. 1333-1356
-
-
Perkins, S.1
Lacker, K.2
Theiler, J.3
-
29
-
-
58349105009
-
Lrpath: A logistic regression approach for identifying enriched biological groups in gene expression data
-
M. A. Sartor, G. D. Leikauf, and M. Medvedovic. Lrpath: A logistic regression approach for identifying enriched biological groups in gene expression data. Bioinformatics, 25(2):211-217, 2008.
-
(2008)
Bioinformatics
, vol.25
, Issue.2
, pp. 211-217
-
-
Sartor, M.A.1
Leikauf, G.D.2
Medvedovic, M.3
-
31
-
-
0345327592
-
A simple and efficient algorithm for gene selection using sparse logistic regression
-
S. K. Shevade and S. S. Keerthi. A simple and efficient algorithm for gene selection using sparse logistic regression. Bioinformatics, 19(17):2246-2253, 2003.
-
(2003)
Bioinformatics
, vol.19
, Issue.17
, pp. 2246-2253
-
-
Shevade, S.K.1
Keerthi, S.S.2
-
32
-
-
70350662526
-
A fast algorithm for large scale l1-regularized logistic regression
-
Technical report, CAAM TR08-07
-
J. Shi, W. Yin, S. Osher, and P. Sajda. A fast algorithm for large scale l1-regularized logistic regression. Technical report, CAAM TR08-07, 2008.
-
(2008)
-
-
Shi, J.1
Yin, W.2
Osher, S.3
Sajda, P.4
-
33
-
-
0035949684
-
Predicting the clinical status of human breast cancer by using gene expression profiles
-
M. West, C. Blanchette, H. Dressman, E. Huang, S. Ishida, R. Spang, H. Zuzan, J. A. Olso, J. R. Marks, and J. R. Nevins. Predicting the clinical status of human breast cancer by using gene expression profiles. National Academy of Sciences, 98(20):11462-11467, 2001.
-
(2001)
National Academy of Sciences
, vol.98
, Issue.20
, pp. 11462-11467
-
-
West, M.1
Blanchette, C.2
Dressman, H.3
Huang, E.4
Ishida, S.5
Spang, R.6
Zuzan, H.7
Olso, J.A.8
Marks, J.R.9
Nevins, J.R.10
-
35
-
-
15944363312
-
Classification of gene microarrays by penalized logistic regression
-
J. Zhu and T. Hastie. Classification of gene microarrays by penalized logistic regression. Biostatistics, 5(3):427-443, 2004.
-
(2004)
Biostatistics
, vol.5
, Issue.3
, pp. 427-443
-
-
Zhu, J.1
Hastie, T.2
|