-
1
-
-
0035931968
-
Genome-wide views of cancer
-
T. Golub: Genome-wide views of cancer. New England Journal of Medicine, 344, 8, 601-602, 2001.
-
(2001)
New England Journal of Medicine
, vol.344
, Issue.8
, pp. 601-602
-
-
Golub, T.1
-
2
-
-
0036534202
-
DNA microarrays in clinical oncology
-
S. Ramaswamy, T. Golub: DNA microarrays in clinical oncology. Journal of clinical oncology, 20, 7, 1932-1941, 2002.
-
(2002)
Journal of clinical oncology
, vol.20
, Issue.7
, pp. 1932-1941
-
-
Ramaswamy, S.1
Golub, T.2
-
3
-
-
24344458137
-
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
-
H. Peng, F. Long, C. Ding: Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. on Pattern analysis and machine intelligence, 27, 1226-1238, 2005.
-
(2005)
IEEE Trans. on Pattern analysis and machine intelligence
, vol.27
, pp. 1226-1238
-
-
Peng, H.1
Long, F.2
Ding, C.3
-
4
-
-
14344265818
-
Redundant feature elimination for multi-class problems
-
A. Appice, M. Ceci, S. Rawles, P. Flach: Redundant feature elimination for multi-class problems. Proc. of the 21st ICML, 33-40, 2004.
-
(2004)
Proc. of the 21st ICML
, pp. 33-40
-
-
Appice, A.1
Ceci, M.2
Rawles, S.3
Flach, P.4
-
6
-
-
33645092633
-
Additive risk models for survival data with high dimensional covariates
-
S. Ma, M. Kosorok, M, J. Fine: Additive risk models for survival data with high dimensional covariates. Biometrics, 62, 202-210, 2006.
-
(2006)
Biometrics
, vol.62
, pp. 202-210
-
-
Ma, S.1
Kosorok, M.2
Fine, M.J.3
-
7
-
-
78651542372
-
A weighted principal component analysis and its application to gene expression data
-
17 Jul, IEEE computer Society Digital Library. IEEE Computer Society
-
J. Costa, H. Alonso, L. Roque, A weighted principal component analysis and its application to gene expression data, IEEE/ACM Trans. on computational biology and bioinformatics, 17 Jul. 2009. IEEE computer Society Digital Library. IEEE Computer Society.
-
(2009)
IEEE/ACM Trans. on computational biology and bioinformatics
-
-
Costa, J.1
Alonso, H.2
Roque, L.3
-
8
-
-
0036956225
-
Partial least squares proportional hazard regression for application to DNA microarray survival data
-
D. Nguyen, D. Rocker: Partial least squares proportional hazard regression for application to DNA microarray survival data. Bioinformatics, 18, 12, 1625-1632, 2002.
-
(2002)
Bioinformatics
, vol.18
, Issue.12
, pp. 1625-1632
-
-
Nguyen, D.1
Rocker, D.2
-
9
-
-
21444446838
-
Penalized Cix regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data
-
J. Gui, H. Li: Penalized Cix regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data. Bioinformatics, 21, 3001-3008, 2005.
-
(2005)
Bioinformatics
, vol.21
, pp. 3001-3008
-
-
Gui, J.1
Li, H.2
-
10
-
-
0036161259
-
Gene selection for cancer classification using support vector machines
-
I. Guyon, J. Weston, S. Barnhill: Gene selection for cancer classification using support vector machines. Machine Learning, 46, 1-3, 389-422, 2002
-
(2002)
Machine Learning
, vol.46
, Issue.1-3
, pp. 389-422
-
-
Guyon, I.1
Weston, J.2
Barnhill, S.3
-
11
-
-
33947324308
-
Improving the performance of SVM-RFE to select genes in microarray data
-
Y. Ding, D. Wilkins: Improving the performance of SVM-RFE to select genes in microarray data. BMC Bioinformatics, 7(Suppl 2), 1-8, 2006.
-
(2006)
BMC Bioinformatics
, vol.7
, Issue.SUPPL 2
, pp. 1-8
-
-
Ding, Y.1
Wilkins, D.2
-
12
-
-
0345327592
-
A simple and efficient algorithm for gene selection using sparse logistic regression
-
S. Shevade, 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.1
Keerthi, S.2
-
13
-
-
33750012146
-
Gene selection in cancer classification using sparse logistic regression with bayesian regularization
-
G. Cawley, N. Talbot: Gene selection in cancer classification using sparse logistic regression with bayesian regularization. Bioinformatics, 22, 2348- 2355, 2006.
-
(2006)
Bioinformatics
, vol.22
, pp. 2348-2355
-
-
Cawley, G.1
Talbot, N.2
-
14
-
-
13444282534
-
Outcome signature genes in breast cancer: Is there a unique set?
-
L. Ein-Dor, I. Kela, G. Getz, D. Givol, E. Domany: Outcome signature genes in breast cancer: is there a unique set? Bioinformatics, 21, 171-178, 2005.
-
(2005)
Bioinformatics
, vol.21
, pp. 171-178
-
-
Ein-Dor, L.1
Kela, I.2
Getz, G.3
Givol, D.4
Domany, E.5
-
15
-
-
34248647608
-
Stability of feature selection algorithms: A study on high-dimensional spaces
-
A. kalousis, J. Prados, M. Hilario: Stability of feature selection algorithms: a study on high-dimensional spaces. Knowledge and information systems, 12, 95-116, 2007.
-
(2007)
Knowledge and information systems
, vol.12
, pp. 95-116
-
-
Kalousis, A.1
Prados, J.2
Hilario, M.3
-
18
-
-
16244401458
-
Regularization and variable selection via the elastic net
-
H. Zou, T. Hastie: Regularization and variable selection via the elastic net. J. R. Statist. Soc. B: Statist. Methodol. 67, 301-320, 2005.
-
(2005)
J. R. Statist. Soc. B: Statist. Methodol.
, vol.67
, pp. 301-320
-
-
Zou, H.1
Hastie, T.2
-
19
-
-
33846114377
-
The adaptive lasso and its oracle properties
-
H. Zou: The adaptive lasso and its oracle properties. J. Amer. Statist. Assoc. 101, 1418-1429, 2006.
-
(2006)
J. Amer. Statist. Assoc.
, vol.101
, pp. 1418-1429
-
-
Zou, H.1
-
20
-
-
62549126570
-
On the adaptive elastic-net with a diverging number of parameters
-
H. Zou, H. Zhang: On the adaptive elastic-net with a diverging number of parameters. The Annals of statistics, 37, 4, 1733-1751, 2009.
-
(2009)
The Annals of statistics
, vol.37
, Issue.4
, pp. 1733-1751
-
-
Zou, H.1
Zhang, H.2
-
21
-
-
33645035051
-
Model selection and estimation in regression with grouped variables
-
M. Yuan, Y. Lin: Model selection and estimation in regression with grouped variables. JRSSB, 68, 49-67, 2006.
-
(2006)
JRSSB
, vol.68
, pp. 49-67
-
-
Yuan, M.1
Lin, Y.2
-
22
-
-
37849035696
-
The group lasso for logistic regression
-
L. Meier, S. Geer, P. Buhlmann: The group lasso for logistic regression. JRSSB, 70, 53-71, 2008.
-
(2008)
JRSSB
, vol.70
, pp. 53-71
-
-
Meier, L.1
Geer, S.2
Buhlmann, P.3
-
23
-
-
54449086895
-
Higher criticism thresholding: Optimal feature selection when useful features are rare and weak
-
D. Donoho, J. Jin: Higher criticism thresholding: optimal feature selection when useful features are rare and weak. Proc. Natl. Acad. Sci. USA, 105, 14790-14795, 2008.
-
(2008)
Proc. Natl. Acad. Sci. USA
, vol.105
, pp. 14790-14795
-
-
Donoho, D.1
Jin, J.2
-
24
-
-
67049095607
-
Impossibility of successful classification when useful features are rare and weak
-
J. Jin: Impossibility of successful classification when useful features are rare and weak. Proc. Natl. Acad. Sci. USA, 106, 8859-8864, 2009.
-
(2009)
Proc. Natl. Acad. Sci. USA
, vol.106
, pp. 8859-8864
-
-
Jin, J.1
-
25
-
-
70350572773
-
Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development
-
online available, Jul
-
R. De, A. Ghosh: Interval based fuzzy systems for identification of important genes from microarray gene expression data: application to carcinogenic development. Journal of Biomedical Informatics, online available, Jul.2009.
-
(2009)
Journal of Biomedical Informatics
-
-
De, R.1
Ghosh, A.2
-
26
-
-
0003141935
-
A comparative study on feature selection in text categorization
-
Y. Yang, J. Pedersen: A comparative study on feature selection in text categorization. Proc. of the 14th ICML, 412-420, 1997.
-
(1997)
Proc. of the 14th ICML
, pp. 412-420
-
-
Yang, Y.1
Pedersen, J.2
-
27
-
-
36849093470
-
Feature selection methods for text classification
-
San Jose, CA, USA
-
A. Dasgupta, P. Drineas, B. Harb: Feature selection methods for text classification. Proc. of KDD, San Jose, CA, USA, 2007.
-
(2007)
Proc. of KDD
-
-
Dasgupta, A.1
Drineas, P.2
Harb, B.3
-
28
-
-
25444528447
-
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
-
T. Jirapech-Umpai, S. Aitken: Feature selection and classification for microarray data analysis: evolutionary methods for identifying predictive genes. BMC Bioinformatics, 6, 148:1-11, 2005.
-
(2005)
BMC Bioinformatics
, vol.6-148
, pp. 1-11
-
-
Jirapech-Umpai, T.1
Aitken, S.2
-
30
-
-
0033569406
-
Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
-
T. Golub et al.: 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.1
-
31
-
-
0035942271
-
Significance analysis of microarray applied to the ionizing radiation response
-
V. Tusher, R. Tibshirani, G. Chu: Significance analysis of microarray applied to the ionizing radiation response. Proc. Natl. Acad. Sci. USA, 98, 9, 5116-5121, 2001.
-
(2001)
Proc. Natl. Acad. Sci. USA, 98
, vol.9
, pp. 5116-5121
-
-
Tusher, V.1
Tibshirani, R.2
Chu, G.3
-
32
-
-
65449150247
-
Stable feature selection via dense feature groups
-
Las Vegas, Nevada, USA
-
L. Yu, C. Ding, S. Loscalzo: Stable feature selection via dense feature groups. Proc. of SIG KDD, Las Vegas, Nevada, USA, 803-811, 2008.
-
(2008)
Proc. of SIG KDD
, pp. 803-811
-
-
Yu, L.1
Ding, C.2
Loscalzo, S.3
-
33
-
-
70350686854
-
Consensus group stable feature selection
-
Paris, France
-
S. Loscalzo, L. Yu, C. Ding: Consensus group stable feature selection. Proc. of SIG KDD, Paris, France, 567-575, 2009.
-
(2009)
Proc. of SIG KDD
, pp. 567-575
-
-
Loscalzo, S.1
Yu, L.2
Ding, C.3
-
34
-
-
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. Notterman, K. Gish, S. Ybarra, D. Mack, A. Levine: Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc. Natl. Acad. Sci. USA, 96, 6745-6750, 1999.
-
(1999)
Proc. Natl. Acad. Sci. USA, 96
, pp. 6745-6750
-
-
Alon, U.1
Barkai, N.2
Notterman, D.3
Gish, K.4
Ybarra, S.5
Mack, D.6
Levine, A.7
-
35
-
-
0035949684
-
Predicting the clinical status of human breast cancer by using gene expression profiles
-
M. West et al.: Predicting the clinical status of human breast cancer by using gene expression profiles. Proc. Natl. Acad. Sci. USA, 98, 20, 11462-11467, 2001.
-
(2001)
Proc. Natl. Acad. Sci. USA, 98
, vol.20
, pp. 11462-11467
-
-
West, M.1
-
36
-
-
0034570871
-
Correspondence analysis of genes and tissue types and finding genetic links from microarray data
-
H. Kishino, P. Waddell: Correspondence analysis of genes and tissue types and finding genetic links from microarray data. Genome information, 11, 83-95, 2000.
-
(2000)
Genome information
, vol.11
, pp. 83-95
-
-
Kishino, H.1
Waddell, P.2
-
37
-
-
65449166184
-
On sparse Fisher discriminant method for microarray data analysis
-
E. Feng, M. Ng:On sparse Fisher discriminant method for microarray data analysis. Bioinformation, 2(5), 230-234, 2007.
-
(2007)
Bioinformation
, vol.2
, Issue.5
, pp. 230-234
-
-
Feng, E.1
Ng, M.2
-
38
-
-
0025271588
-
Expression of desmin gene in skeletal and smooth muscle by in situ hybridization using a human desmin gene probe
-
C. Bolmont, A. Lilienbaum, D. Paulin, J. Grimaud: Expression of desmin gene in skeletal and smooth muscle by in situ hybridization using a human desmin gene probe. Journal of Submicrosc Cytol Pathol., 22(1), 117-122, 1990.
-
(1990)
Journal of Submicrosc Cytol Pathol.
, vol.22
, Issue.1
, pp. 117-122
-
-
Bolmont, C.1
Lilienbaum, A.2
Paulin, D.3
Grimaud, J.4
-
39
-
-
0036772522
-
Bayesian automatic relevance determination algorithms for classifying gene expression data
-
Y. Li, C. Campbell, M. Tipping: Bayesian automatic relevance determination algorithms for classifying gene expression data. Bioinformatics, 18, 1332-1339, 2002.
-
(2002)
Bioinformatics
, vol.18
, pp. 1332-1339
-
-
Li, Y.1
Campbell, C.2
Tipping, M.3
-
40
-
-
65349120262
-
The mRNA binding protiens HuR and tristetraprolin regulate cyclooxygenase 2 expression during colon carcinogenesis
-
L. Young, S. Sanduja, K. Bemis-Standoli, E. Pena, R. Price, D. Dixon: The mRNA binding protiens HuR and tristetraprolin regulate cyclooxygenase 2 expression during colon carcinogenesis. Gastroenterology, 136(5), 1669-1679, 2009.
-
(2009)
Gastroenterology
, vol.136
, Issue.5
, pp. 1669-1679
-
-
Young, L.1
Sanduja, S.2
Bemis-Standoli, K.3
Pena, E.4
Price, R.5
Dixon, D.6
-
41
-
-
26444473237
-
The role of the casein kinase 1 family in different signaling pathways linked to cancer development
-
U. Knippschild, S. Wolff, G. Giamas, C. Brockschmidt, M. Wittau, P. Wai, T. Eismann, M. Stier: The role of the casein kinase 1 family in different signaling pathways linked to cancer development. Onkologie, 28, 508-514, 2005.
-
(2005)
Onkologie
, vol.28
, pp. 508-514
-
-
Knippschild, U.1
Wolff, S.2
Giamas, G.3
Brockschmidt, C.4
Wittau, M.5
Wai, P.6
Eismann, T.7
Stier, M.8
-
45
-
-
71149113559
-
Group lasso with overlap and graph lasso
-
In, Montreal, Canada
-
L. Jacob, G. Obozinski, J. Vert: Group lasso with overlap and graph lasso. In Proc. of the 26th ICML, Montreal, Canada, 2009.
-
(2009)
Proc. of the 26th ICML
-
-
Jacob, L.1
Obozinski, G.2
Vert, J.3
-
46
-
-
49549105778
-
-
T. Park, G. Casella: The Bayesian Lasso. Journal of the American Statistical Association, 103, 482, 681-686, 2008.
-
(2008)
The Bayesian Lasso. Journal of the American Statistical Association
, vol.103
, Issue.482
, pp. 681-686
-
-
Park, T.1
Casella, G.2
-
47
-
-
0003798627
-
-
MIT Press, Cambridge, MA
-
B. Scholkopf, C. Burges, A. Smola: Advances in kernel methods: support vector learning. MIT Press, Cambridge, MA, 1999.
-
(1999)
Advances in kernel methods: Support vector learning
-
-
Scholkopf, B.1
Burges, C.2
Smola, A.3
|