-
1
-
-
0028685490
-
-
Bailey, T. L., & Elkan, C. (1994). Fitting a mixture model by expectation maximization to discover motifs in biopolymers. In Proceedings of the second international conference ISMB, USA (pp. 28-36).
-
Bailey, T. L., & Elkan, C. (1994). Fitting a mixture model by expectation maximization to discover motifs in biopolymers. In Proceedings of the second international conference ISMB, USA (pp. 28-36).
-
-
-
-
2
-
-
0002759539
-
Unsupervised learning of multiple motifs in biopolymers using expectation maximization
-
Bailey T.L., and Elkan C. Unsupervised learning of multiple motifs in biopolymers using expectation maximization. Machine Learning 21 (1995) 51-80
-
(1995)
Machine Learning
, vol.21
, pp. 51-80
-
-
Bailey, T.L.1
Elkan, C.2
-
4
-
-
0034823882
-
-
Buhler, J., & Tompa, M. (2001). Finding motifs using random projections. In Proceedings RECOMB'01, Canada (pp. 69-76).
-
Buhler, J., & Tompa, M. (2001). Finding motifs using random projections. In Proceedings RECOMB'01, Canada (pp. 69-76).
-
-
-
-
5
-
-
32444449634
-
-
Che, D. (2005). MDGA: Motif discovery using a genetic algorithm. In Proc. GECCO'05, USA (pp. 447-452).
-
Che, D. (2005). MDGA: Motif discovery using a genetic algorithm. In Proc. GECCO'05, USA (pp. 447-452).
-
-
-
-
6
-
-
33847197149
-
-
Congdon, C. B. (2005). Preliminary results for GAMI: A genetic algorithms approach to motif inference. In Proc. CIBCB'05, USA (pp. 1-8).
-
Congdon, C. B. (2005). Preliminary results for GAMI: A genetic algorithms approach to motif inference. In Proc. CIBCB'05, USA (pp. 1-8).
-
-
-
-
7
-
-
0036530772
-
A fast and elitist multi-objective genetic algorithm: NSGA II
-
Deb K., et al. A fast and elitist multi-objective genetic algorithm: NSGA II. IEEE Transactions on Evolutionary Computation 6 (2002) 182-197
-
(2002)
IEEE Transactions on Evolutionary Computation
, vol.6
, pp. 182-197
-
-
Deb, K.1
-
8
-
-
33645748095
-
What are DNA sequence motifs?
-
D'heaseleer P. What are DNA sequence motifs?. National Biotechnology 24 (2006) 423-425
-
(2006)
National Biotechnology
, vol.24
, pp. 423-425
-
-
D'heaseleer, P.1
-
9
-
-
56349128414
-
Identification of common motifs in unaligned DNA sequences: Application to Escherichia coli Irp regulon
-
Fraenkel Y., et al. Identification of common motifs in unaligned DNA sequences: Application to Escherichia coli Irp regulon. Computer Applications in the Biosciences (1995) 11
-
(1995)
Computer Applications in the Biosciences
, pp. 11
-
-
Fraenkel, Y.1
-
10
-
-
0034141782
-
Prediction of transcription regulatory sites in archaea by a comparative genomic approach
-
Gelfand M., et al. Prediction of transcription regulatory sites in archaea by a comparative genomic approach. Nucleic Acids Research 28 (2000) 695-705
-
(2000)
Nucleic Acids Research
, vol.28
, pp. 695-705
-
-
Gelfand, M.1
-
12
-
-
0032136585
-
Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis
-
Herrera F., et al. Tackling real-coded genetic algorithms: Operators and tools for behavioural analysis. Artificial Intelligence Review 12 (1998) 265-319
-
(1998)
Artificial Intelligence Review
, vol.12
, pp. 265-319
-
-
Herrera, F.1
-
13
-
-
56349150555
-
-
Hertz, G. Z., & Stormo, G. D. (1995). Identification of consensus patterns in unaligned DNA and protein sequences: A large-deviation statistical basis for penalizing gaps. In Proceedings of the international conference on bioinformatics and genome research (pp. 201-216).
-
Hertz, G. Z., & Stormo, G. D. (1995). Identification of consensus patterns in unaligned DNA and protein sequences: A large-deviation statistical basis for penalizing gaps. In Proceedings of the international conference on bioinformatics and genome research (pp. 201-216).
-
-
-
-
14
-
-
0032826179
-
Identifying DNA and protein patterns with statistically significant alignments of multiple sequences
-
Hertz G.Z., and Stormo G.D. Identifying DNA and protein patterns with statistically significant alignments of multiple sequences. Bioinformatics 15 (1999) 563-577
-
(1999)
Bioinformatics
, vol.15
, pp. 563-577
-
-
Hertz, G.Z.1
Stormo, G.D.2
-
16
-
-
19544388921
-
-
Kaya, M., & Alhajj, R. (2004a). Integrating multi-objective genetic algorithms into clustering for fuzzy association rules mining. In: IEEE international conference on data mining (ICDM 2004), Brighton, UK, 1-4 November 2004.
-
Kaya, M., & Alhajj, R. (2004a). Integrating multi-objective genetic algorithms into clustering for fuzzy association rules mining. In: IEEE international conference on data mining (ICDM 2004), Brighton, UK, 1-4 November 2004.
-
-
-
-
17
-
-
16244389624
-
-
Kaya, M., & Alhajj, R. (2004b). Multi-objective genetic algorithm based approach for optimizing fuzzy sequential patterns. In 16th IEEE international conference on tools with artificial intelligence. Boca Raton: FL, USA.
-
Kaya, M., & Alhajj, R. (2004b). Multi-objective genetic algorithm based approach for optimizing fuzzy sequential patterns. In 16th IEEE international conference on tools with artificial intelligence. Boca Raton: FL, USA.
-
-
-
-
18
-
-
33244458239
-
Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules
-
Kaya M. Multi-objective genetic algorithm based approaches for mining optimized fuzzy association rules. Soft Computing Journal 10 7 (2006) 578-586
-
(2006)
Soft Computing Journal
, vol.10
, Issue.7
, pp. 578-586
-
-
Kaya, M.1
-
19
-
-
0032654634
-
-
Li, M., Ma, B., & Wang, L. (1999). Finding similar regions in many strings. In Proceedings STOC, USA (pp. 473-482).
-
Li, M., Ma, B., & Wang, L. (1999). Finding similar regions in many strings. In Proceedings STOC, USA (pp. 473-482).
-
-
-
-
20
-
-
4544358562
-
-
Liu, F. M. (2004). FMGA: Finding motifs by genetic algorithm. In Proceedings BIBE'04, Taiwan (pp. 459-466).
-
Liu, F. M. (2004). FMGA: Finding motifs by genetic algorithm. In Proceedings BIBE'04, Taiwan (pp. 459-466).
-
-
-
-
21
-
-
0029872694
-
SAGA: Sequence alignment by genetic algorithm
-
Notredame C., and Higgins D.G. SAGA: Sequence alignment by genetic algorithm. Nucleic Acids Research 24 (1996) 1515-1524
-
(1996)
Nucleic Acids Research
, vol.24
, pp. 1515-1524
-
-
Notredame, C.1
Higgins, D.G.2
-
22
-
-
33750275579
-
-
Paul, T. K., & Iba, H. (2006). Identification of weak motifs in multiple biological sequences using genetic algorithm. In Proceedings GECCO'06, USA (pp. 271-278).
-
Paul, T. K., & Iba, H. (2006). Identification of weak motifs in multiple biological sequences using genetic algorithm. In Proceedings GECCO'06, USA (pp. 271-278).
-
-
-
-
23
-
-
3242884167
-
Weeder Web: Discovery of transcription factor binding sites in a set of sequences from co-regulated genes
-
Pavesi G., et al. Weeder Web: Discovery of transcription factor binding sites in a set of sequences from co-regulated genes. Nucleic Acids Research 32 (2004) W199-W203
-
(2004)
Nucleic Acids Research
, vol.32
-
-
Pavesi, G.1
-
24
-
-
0026729501
-
Wordup: An efficient algorithm for discovering statistically significant patterns in DNA sequences
-
Pesole G., et al. Wordup: An efficient algorithm for discovering statistically significant patterns in DNA sequences. Journal of Nucleic Acids Research 20 (1992) 2871-2875
-
(1992)
Journal of Nucleic Acids Research
, vol.20
, pp. 2871-2875
-
-
Pesole, G.1
-
25
-
-
0034565285
-
-
Pevzner, P., & Sze, S. H. (2000). Combinatorial approaches to finding subtle in DNA sequences. In Proceedings ISMB'00 (pp. 269-278).
-
Pevzner, P., & Sze, S. H. (2000). Combinatorial approaches to finding subtle in DNA sequences. In Proceedings ISMB'00 (pp. 269-278).
-
-
-
-
26
-
-
0031787969
-
Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation
-
Roth F.P., et al. Finding DNA regulatory motifs within unaligned noncoding sequences clustered by whole-genome mRNA quantitation. National Biotechnology 16 (1998) 939-945
-
(1998)
National Biotechnology
, vol.16
, pp. 939-945
-
-
Roth, F.P.1
-
27
-
-
0042905768
-
YMF: a program for discovery of novel transcription factor binding sites by statistical overrepresentation
-
Sinha S., and Tompa M. YMF: a program for discovery of novel transcription factor binding sites by statistical overrepresentation. Nucleic Acids Research 31 (2003) 3586-3588
-
(2003)
Nucleic Acids Research
, vol.31
, pp. 3586-3588
-
-
Sinha, S.1
Tompa, M.2
-
28
-
-
84901431286
-
-
Stine, M. (2003). Motif discovery in upstream sequences of coordinately expressed genes. CEC'03, USA (pp. 1596-1603).
-
Stine, M. (2003). Motif discovery in upstream sequences of coordinately expressed genes. CEC'03, USA (pp. 1596-1603).
-
-
-
-
29
-
-
0032964297
-
Blast2 sequences, a new tool for comparing protein and nucleotide sequences
-
Tatusova T.A., and Madden T.L. Blast2 sequences, a new tool for comparing protein and nucleotide sequences. FEMS Microbiology Letters 2 (1999) 247-250
-
(1999)
FEMS Microbiology Letters
, vol.2
, pp. 247-250
-
-
Tatusova, T.A.1
Madden, T.L.2
-
30
-
-
0036108622
-
A Gibbs sampling method to detect overrepresented motifs in the upstream regions of coexpressed genes
-
Thijs G., et al. A Gibbs sampling method to detect overrepresented motifs in the upstream regions of coexpressed genes. Journal of Computational Biology 9 (2002) 447-464
-
(2002)
Journal of Computational Biology
, vol.9
, pp. 447-464
-
-
Thijs, G.1
-
31
-
-
0043123063
-
Gibbs recursive sampler: Finding transcription factor binding sites
-
Thompson W., et al. Gibbs recursive sampler: Finding transcription factor binding sites. Journal of Nucleic Acids Research 31 (2003) 3580-3585
-
(2003)
Journal of Nucleic Acids Research
, vol.31
, pp. 3580-3585
-
-
Thompson, W.1
-
32
-
-
0033289316
-
-
Tompa, M. (1999). An exact method for finding short motifs in sequences with application to the ribosome binding site problem. In Proceedings of the international conference on ISMB, Germany (pp. 262-271).
-
Tompa, M. (1999). An exact method for finding short motifs in sequences with application to the ribosome binding site problem. In Proceedings of the international conference on ISMB, Germany (pp. 262-271).
-
-
-
-
33
-
-
21144439147
-
Assessing computational tools for the discovery of transcription factor binding sites
-
Tompa M., et al. Assessing computational tools for the discovery of transcription factor binding sites. National Biotechnology 23 (2005) 137-144
-
(2005)
National Biotechnology
, vol.23
, pp. 137-144
-
-
Tompa, M.1
-
34
-
-
0032483307
-
Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies
-
Van Helden J., et al. Extracting regulatory sites from the upstream region of yeast genes by computational analysis of oligonucleotide frequencies. Journal of Molecular Biology 281 (1998) 827-842
-
(1998)
Journal of Molecular Biology
, vol.281
, pp. 827-842
-
-
Van Helden, J.1
-
35
-
-
0029960055
-
TRANSFAC: A database on transcription factors and their DNA binding sites
-
Wingender E., et al. TRANSFAC: A database on transcription factors and their DNA binding sites. Nucleic Acids Research 24 (1996) 238-241
-
(1996)
Nucleic Acids Research
, vol.24
, pp. 238-241
-
-
Wingender, E.1
-
36
-
-
0034199979
-
Comparison of multiobjective evolutionary algorithms: Empirical results
-
Zitzler E., et al. Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation 2 (2000) 173-195
-
(2000)
Evolutionary Computation
, vol.2
, pp. 173-195
-
-
Zitzler, E.1
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