Biomedical Engineering Reference
In-Depth Information
3. Agrawal, R., Srikant, R.: Mining sequential patterns. In: P.S. Yu, A.L.P. Chen (eds.) Proc. of
the 11th Int. Conf. on Data Engineering (ICDE), pp. 3-14. IEEE Computer Society (1995)
4. Appice, A., Berardi, M., Ceci, M., Malerba, D.: Mining and filtering multi-level spatial
association rules with ares. In: M.S. Hacid, N.V. Murray, Z.W. Ras, S. Tsumoto (eds.) Founda-
tions of Intelligent Systems, 15th Int. Symposium, ISMIS 2005, LNCS , vol. 3488, pp. 342-353.
Springer (2005)
5. Bailey, T.L., Elkan, C.: Fitting a mixture model by expectation maximization to discover motifs
in biopolymer. In: R.B. Altman, D.L. Brutlag, P.D. Karp, R.H. Lathrop, D.B. Searls (eds.) Proc.
of the 2nd Int. Conf. on Intelligent Systems for Molecular Biology (ISMB), pp. 28-36. AAAI
(1994)
6. Bi, C.: Seam: a stochastic EM-type algorithm for motif-finding in biopolymer sequences. Jour-
nal of Bioinformatics and Computational Biology 5 (1), 47-77 (2007)
7. Blockeel, H., Sebag, M.: Scalability and efficiency in multi-relational data mining. SIGKDD
Explorations 5 (1), 17-30 (2003)
8. Buhler, J., Tompa, M.: Finding motifs using random projections.
Journal of Computational
Biology 9 (2), 225-242 (2002)
9. Ceri, S., Gottlob, G., Tanca, L.: Logic programming and databases. Springer, New York (1990)
10. Dehaspe, L., De Raedt, L.: Mining association rules in multiple relations. In: the 7th Int. Work-
shop on Inductive Logic Programming, ILP 1997, vol. 1297, pp. 125-132. Springer (1997)
11. Didiano,
D.,
Hobert,
O.:
Molecular
architecture
of
a
miRNA-regulated
3'UTR.
RNA
(New York) 14 (7), 1297-1317 (2008)
12. Erman, B., Cortes, M., Nikolajczyk, B., Speck, N., Sen, R.: Ets-core binding factor: a common
composite motif in antigen receptor gene enhancers.
Molecular and Cellular Biology 18 (3),
1322-1330 (1998)
13. Frith, M.C., Hansen, U., Weng, Z.: Detection of cis-element clusters in higher eukaryotic DNA.
Bioinformatics 17 (10), 878-889 (2001)
14. Gupta, M., Liu, J.S.: De novo cis-regulatory module elicitation for eukaryotic genomes. Proc.
National Acadademy of Science 102 (20), 7079-7084 (2005)
15. Heinemeyer, T., Wingender, E., Reuter, I., Hermjakob, H., Kel, A.E., Kel-Margoulis, O.V.,
Ignatieva, E.V., Ananko, E.A., Podkolodnaya, O.A., Kolpakov, F.A., Podkolodny, N.L.,
Kolchanov, N.A.: Databases on transcriptional regulation: TRANSFAC, TRRD and COMPEL.
Nucleic Acids Research 26 (1), 362-367 (1998)
16. Helft, N.: Inductive generalization: a logical framework. In: I. Bratko, N. Lavrac (eds.) Progress
in Machine Learning, pp. 149-157. Sigma Press, Wilmslow (1987)
17. Hinneburg, A., Keim, D.A.: A general approach to clustering in large databases with noise.
Knowledge and Information Systems 5 (4), 387-415 (2003)
18. Ivan, A., Halfon, M., Sinha, S.: Computational discovery of cis-regulatory modules in
drosophila without prior knowledge of motifs. Genome Biology 9 (1), R22 (2008)
19. Jackups, R., Liang, J.: Combinatorial analysis for sequence and spatial motif discovery in short
sequence fragments. IEEE/ACM Trans. Comput. Biology Bioinform. 7 (3), 524-536 (2010)
20. Johansson, O., Alkema, W., Wasserman, W.W., Lagergren, J.: Identification of functional
clusters of transcription factor binding motifs in genome sequences: the mscan algorithm.
Bioinformatics 19 (suppl 1) , i169-i176 (2003)
21. Klepper, K., Sandve, G.K., Abul, O., Johansen, J., Drabløs, F.: Assessment of composite motif
discovery methods. BMC Bioinformatics 9 , 123 (2008)
22. Li, M., Ma, B., Wang, L.: Finding similar regions in many sequences.
Journal of Computer
and System Sciences 65 (1), 73-96 (2002)
23. Lin, W., Alvarez, S.A., Ruiz, C.: Efficient adaptive-support association rule mining for recom-
mender systems. Data Mining and Knowledge Discovery 6 (1), 83-105 (2002)
24. Lisi, F.A., Malerba, D.: Inducing multi-level association rules from multiple relations. Machine
Learning 55 (2), 175-210 (2004)
25. Liu, X., Brutlag, D.L., Liu, J.S.: Bioprospector: Discovering conserved DNA motifs in up-
stream regulatory regions of co-expressed genes.
In: Pacific Symposium on Biocomputing,
pp. 127-138 (2001)
Search WWH ::




Custom Search