-
1
-
-
0026966646
-
A training algorithm for optimal margin classifiers
-
D. Haussler, editor, ACM Press
-
B. E. Boser, I. M. Guyon, and V. N. Vapnik. A training algorithm for optimal margin classifiers. In D. Haussler, editor, 5th Annual ACM Workshop on COLT, pages 144-152. ACM Press, 1992.
-
(1992)
5th Annual ACM Workshop on COLT
, pp. 144-152
-
-
Boser, B.E.1
Guyon, I.M.2
Vapnik, V.N.3
-
2
-
-
0742301681
-
Mismatch string kernels for SVM protein classification
-
L. C., E. E., A. Cohen, A. Weston, and W. S. Noble. Mismatch string kernels for SVM protein classification. Neur. Inf. Proc. Sys., 15(4):1441-1448, 2002.
-
(2002)
Neur. Inf. Proc. Sys.
, vol.15
, Issue.4
, pp. 1441-1448
-
-
C, L.1
E, E.2
Cohen, A.3
Weston, A.4
Noble, W.S.5
-
3
-
-
27144519762
-
Feature subset selection, class separability, and genetic algorithms
-
Springer Berlin / Heidelberg
-
E. Cantu-Paz. Feature subset selection, class separability, and genetic algorithms. In Proceedings of GECCO-2004, pages 959-970. Springer Berlin / Heidelberg, 2004.
-
(2004)
Proceedings of GECCO-2004
, pp. 959-970
-
-
Cantu-Paz, E.1
-
7
-
-
29144499905
-
Working set selection using the second order information for training SVM
-
R.-E. Fan, P.-H. Chen, and C.-J. Lin. Working set selection using the second order information for training SVM. J. Mach. Learn. Res., 6(1532-4435):1889-1918, 2005.
-
(2005)
J. Mach. Learn. Res.
, vol.6
, Issue.1532-4435
, pp. 1889-1918
-
-
Fan, R.-E.1
Chen, P.-H.2
Lin, C.-J.3
-
8
-
-
0030581149
-
Chromatin unfolds
-
DOI 10.1016/S0092-8674(00)80073-2
-
G. Felsenfeld. Chromatin unfolds. Cell, 86(1):13-19, 1996. (Pubitemid 26256574)
-
(1996)
Cell
, vol.86
, Issue.1
, pp. 13-19
-
-
Felsenfeld, G.1
-
9
-
-
33748641351
-
EGASP: The human ENCODE genome annotation assessment project
-
R. Guig0, P. Flicek, J. F. Abril, A. Reymond, J. Lagarde, F. Denoeud, S. Antonarakis, M. Ashburner, V. B. Bajic, E. Birney, R. Castelo, E. Eyras, C. Ucla, T. R. Gingeras, J. Harrow, T. Hubbard, S. E. Lewis, and M. G. Reese. EGASP: the human ENCODE genome annotation assessment project. Genome Biol., 7(Suppl 1):S2.1-31, 2006.
-
(2006)
Genome Biol.
, vol.7
, Issue.SUPPL. 1
-
-
Guig, R.1
Flicek, P.2
Abril, J.F.3
Reymond, A.4
Lagarde, J.5
Denoeud, F.6
Antonarakis, S.7
Ashburner, M.8
Bajic, V.B.9
Birney, E.10
Castelo, R.11
Eyras, E.12
Ucla, C.13
Gingeras, T.R.14
Harrow, J.15
Hubbard, T.16
Lewis, S.E.17
Reese, M.G.18
-
10
-
-
44449101758
-
Supervised learning method for the prediction of subcellular localization of proteins using amino acid and amino acid pair composition
-
T. Habib, C. Zhang, J. Y. Yang, M. Q. Yang, and Y. Deng. Supervised learning method for the prediction of subcellular localization of proteins using amino acid and amino acid pair composition. BMC Genom., 9(Suppl1):S1-S16, 2008.
-
(2008)
BMC Genom.
, vol.9
, Issue.SUPPL. 1
-
-
Habib, T.1
Zhang, C.2
Yang, J.Y.3
Yang, M.Q.4
Deng, Y.5
-
11
-
-
0020083498
-
The meaning and use of the area under a receiver operating characteristic (ROC) curve
-
J. A. Hanley and B. J. McNeil. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143:29-36, 1982.
-
(1982)
Radiology
, vol.143
, pp. 29-36
-
-
Hanley, J.A.1
McNeil, B.J.2
-
12
-
-
51749088608
-
Bio-Java: An open-source framework for bioinformatics
-
R. C. Holland, T. A. Down, M. Pocock, A. Prlic, D. Huen, K. James, S. Foisy, A. Draeger, A. Yates, M. Heuer, and M. J. Schreiber. Bio-Java: an open-source framework for bioinformatics. Bioinformatics, 24(18):2096-2097, 2008.
-
(2008)
Bioinformatics
, vol.24
, Issue.18
, pp. 2096-2097
-
-
Holland, R.C.1
Down, T.A.2
Pocock, M.3
Prlic, A.4
Huen, D.5
James, K.6
Foisy, S.7
Draeger, A.8
Yates, A.9
Heuer, M.10
Schreiber, M.J.11
-
13
-
-
2942517813
-
cis-Regulatory control circuits in development
-
M. L. Howard and E. Davidson. cis-Regulatory control circuits in development. Dev. Biol., 271(1):109-118, 2004.
-
(2004)
Dev. Biol.
, vol.271
, Issue.1
, pp. 109-118
-
-
Howard, M.L.1
Davidson, E.2
-
14
-
-
77955894907
-
A feature generation algorithm with applications to biological sequence classification
-
H. Liu and H. Motoda, editors, Springer, Berling, Heiderlberg
-
R. Islamaj-Dogan, L. Getoor, and W. J. Wilbur. A feature generation algorithm with applications to biological sequence classification. In H. Liu and H. Motoda, editors, Computational Methods of Feature Selection. Springer, Berling, Heiderlberg, 2007.
-
(2007)
Computational Methods of Feature Selection
-
-
Islamaj-Dogan, R.1
Getoor, L.2
Wilbur, W.J.3
-
15
-
-
79959433795
-
-
R. Islamaj-Dogan, L. Getoor, W. J. Wilbur, and S. M. Mount. Features generated for computational splice-site prediction correspond to functional elements. 8:410-416, 2007.
-
(2007)
Features Generated for Computational Splice-site Prediction Correspond to Functional Elements
, vol.8
, pp. 410-416
-
-
Islamaj-Dogan, R.1
Getoor, L.2
Wilbur, W.J.3
Mount, S.M.4
-
16
-
-
34547559084
-
SplicePort - An interactive splice-site analysis tool
-
R. Islamaj-Dogan, L. Getoor, W. J. Wilbur, and S. M. Mount. SplicePort - an interactive splice-site analysis tool. Nucl. Acids Res., 35:W285-291, 2007.
-
(2007)
Nucl. Acids Res.
, vol.35
-
-
Islamaj-Dogan, R.1
Getoor, L.2
Wilbur, W.J.3
Mount, S.M.4
-
17
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. H. John. Wrappers for feature subset selection. Artificial Intelligence, 97:273-324, 1997.
-
(1997)
Artificial Intelligence
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
-
18
-
-
36448991500
-
Clustalw and clustalx
-
version 2
-
M. A. Larkin, G. Blackshields, N. P. Brown, R. Chenna, P. A. McGettigan, H. McWilliam, F. Valentin, I. M. Wallace, A. Wilm, R. Lopez, J. D. Thompson, T. J. Gibson, and D. G. Higgins. Clustalw and clustalx version 2. Bioinformatics, 23(21):2947-2948, 2007.
-
(2007)
Bioinformatics
, vol.23
, Issue.21
, pp. 2947-2948
-
-
Larkin, M.A.1
Blackshields, G.2
Brown, N.P.3
Chenna, R.4
McGettigan, P.A.5
McWilliam, H.6
Valentin, F.7
Wallace, I.M.8
Wilm, A.9
Lopez, R.10
Thompson, J.D.11
Gibson, T.J.12
Higgins, D.G.13
-
20
-
-
70449381272
-
Optimization of combined kernel function for svm by particle swarm optimization
-
Baoding, China
-
M.-Z. Lu, C. L. P. Chen, and J.-B. Huo. Optimization of combined kernel function for svm by particle swarm optimization. In IEEE Intl Conf on Machine Learning and Cybernetics, volume 2, pages 1160-1166, Baoding, China, 2009.
-
(2009)
IEEE Intl Conf on Machine Learning and Cybernetics
, vol.2
, pp. 1160-1166
-
-
Lu, M.-Z.1
Chen, C.L.P.2
Huo, J.-B.3
-
21
-
-
70049117806
-
Optimization of combined kernel function for svm based on large margin learning theory
-
Singapore
-
M.-Z. Lu, C. L. P. Chen, J.-B. Huo, and X. Wang. Optimization of combined kernel function for svm based on large margin learning theory. In IEEE Intl Conf on Systems, Man and Cybernetics, pages 353-358, Singapore, 2008.
-
(2008)
IEEE Intl Conf on Systems, Man and Cybernetics
, pp. 353-358
-
-
Lu, M.-Z.1
Chen, C.L.P.2
Huo, J.-B.3
Wang, X.4
-
22
-
-
29144460132
-
Predicting the in vivo signature of human gene regulatory sequences
-
W. S. Noble, S. Kuehn, R. Thurman, M. Yu, and J. A. Stamatoyannopoulos. Predicting the in vivo signature of human gene regulatory sequences. Bioinformatics, 21(Suppl 1):i338-i343, 2005.
-
(2005)
Bioinformatics
, vol.21
, Issue.SUPPL. 1
-
-
Noble, W.S.1
Kuehn, S.2
Thurman, R.3
Yu, M.4
Stamatoyannopoulos, J.A.5
-
23
-
-
24944435114
-
Determining optimal decision model for support vector machine by genetic algorithm
-
J. Zhang, J.-H. He, and F. Y., editors, Springer
-
S.-Y. Ohn, H.-N. Nguyen, D. S. Kim, and J. S. Park. Determining optimal decision model for support vector machine by genetic algorithm. In J. Zhang, J.-H. He, and F. Y., editors, Lecture Notes in Computer Science: Computational and Information Science, volume 3314, pages 895-902. Springer, 2005.
-
(2005)
Lecture Notes in Computer Science: Computational and Information Science
, vol.3314
, pp. 895-902
-
-
Ohn, S.-Y.1
Nguyen, H.-N.2
Kim, D.S.3
Park, J.S.4
-
24
-
-
0035282695
-
Genesplicer: A new computational method for splice site prediction
-
M. Pertea, X. Lin, and S. L. Salzberg. Genesplicer: a new computational method for splice site prediction. Nucl. Acids Res., 29(5):1185-1190, 2001.
-
(2001)
Nucl. Acids Res.
, vol.29
, Issue.5
, pp. 1185-1190
-
-
Pertea, M.1
Lin, X.2
Salzberg, S.L.3
-
25
-
-
1842532951
-
Genome-wide identification of DNase I hypersensitive sites using active chromatin sequence libraries
-
P. J. Sabo, R. Humbert, M. Hawrylycz, J. C. Wallace, M. O. Dorschner, M. McArthur, and J. A. Stamatoyannopoulos. Genome-wide identification of DNase I hypersensitive sites using active chromatin sequence libraries. Proc. Natl. Acad. Sci. USA, 101(13):4537-4542, 2004.
-
(2004)
Proc. Natl. Acad. Sci. USA
, vol.101
, Issue.13
, pp. 4537-4542
-
-
Sabo, P.J.1
Humbert, R.2
Hawrylycz, M.3
Wallace, J.C.4
Dorschner, M.O.5
McArthur, M.6
Stamatoyannopoulos, J.A.7
-
26
-
-
79959427208
-
-
SAS Institute Inc. Version 7
-
SAS Institute Inc. JMP Version 7, 1998-2007.
-
(1998)
JMP
-
-
-
27
-
-
0021760026
-
Computer methods to locate signals in nucleic acid sequences
-
R. Staden. Computer methods to locate signals in nucleic acid sequences. Nucl. Acids Res., 12(1):505-519, 1984.
-
(1984)
Nucl. Acids Res.
, vol.12
, Issue.1
, pp. 505-519
-
-
Staden, R.1
-
28
-
-
0028853170
-
NF-E2 and GATA binding motifs are required for the formation of DNase I hypersensitive site 4 of the human beta-globin locus control region
-
J. A. Stamatoyannopoulos, A. Goodwin, T. Joyce, and C. H. Lowrey. NF-E2 and GATA binding motifs are required for the formation of DNase I hypersensitive site 4 of the human beta-globin locus control region. EMBO J., 14(1):106-116, 1995.
-
(1995)
EMBO J.
, vol.14
, Issue.1
, pp. 106-116
-
-
Stamatoyannopoulos, J.A.1
Goodwin, A.2
Joyce, T.3
Lowrey, C.H.4
-
29
-
-
85027109147
-
Genetic algorithms as a tool for feature selection in machine learning
-
Society Press
-
H. Vafaie and K. D. Jong. Genetic algorithms as a tool for feature selection in machine learning. In Proceedings of Conference on Tools for AI 1992, pages 200-204. Society Press, 1992.
-
(1992)
Proceedings of Conference on Tools for AI 1992
, pp. 200-204
-
-
Vafaie, H.1
Jong, K.D.2
-
33
-
-
0032028297
-
Feature subset selection using a genetic algorithm
-
J. Yang and V. Honavar. Feature subset selection using a genetic algorithm. Intelligent Systems, 13(2):44-49, 1998.
-
(1998)
Intelligent Systems
, vol.13
, Issue.2
, pp. 44-49
-
-
Yang, J.1
Honavar, V.2
-
35
-
-
2442441507
-
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
-
G. Yeo and C. Burge. Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals. J. Comp. Biol., 11(2-3):377-394, 2003.
-
(2003)
J. Comp. Biol.
, vol.11
, Issue.2-3
, pp. 377-394
-
-
Yeo, G.1
Burge, C.2
-
36
-
-
0027377256
-
A weight array method for splicing signal analysis
-
M. Q. Zhang and T. G. Marr. A weight array method for splicing signal analysis. Comput. Appl. Biosci., 9(5):499-509, 1993.
-
(1993)
Comput. Appl. Biosci.
, vol.9
, Issue.5
, pp. 499-509
-
-
Zhang, M.Q.1
Marr, T.G.2
|