P. Turner, (2000) Molecular Biology.
M. D. Ermolaeva, H. G. Khalak, O. White, H. O. Smith, and S. L. Salzberg, (2000) Prediction of transcription terminators in bacterial genomes, Journal of Molecular Biology, 301, 27-33.
T. Davidsen, E. A. Rodland, K. Lagesen, E. Seeberg, and T. Rognes, (2004) Biased distribution of dna uptake sequences towards genome maintenance genes, Nucleic Acids Research, 32(3), 1050-1058.
C. J. C. Burges, (1998) A tutorial on support vector machines for pattern recognition, Knowledge Discovery and Data Mining, 2(2).
T. Joachims, (2002) Optimizing search engines using clickthrough data, in Proceedings of the ACM Conference on Knowledge Discovery and Data Mining (KDD-2002).
V. Vapnik, (1995) The Nature of Statistical Learning Theory. Springer.
S. Rong, F. Chen, K. Wang, M. Ester, J. L. Gardy, and F. S. L. Brinkman, (2003) Frequent-subsequence-based prediction of outer membrane proteins, in Proceedings of 2003 ACM SIGKDD Conference.
M. Deshpande and G. Karypis, (2002) Evaluation of techniques for classifying biological sequences, in Proceedings of Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2002).
D. Gusfield, (1997) Algorithms on strings, trees, and sequences: computer science and computational biology, Cambridge University Press.
G. Salton and C. Buckley, Term weighting approaches in automatic text retrieval, Information Processing and Management, 24(5), 1988.
T. Joachims, (1998) Text categorization with support vector machines: Learning with many relevant features, in Proceedings of the European Conference on Machine Learning (ECML-1998).
(2002) Svmlight support vector machine, web.
B. Gu, (2007) Discovering species-specific transcription terminators for bacteria, School of Computing Science, Simon Fraser University, Tech. Rep.
J. R. Quinlan, (1993) C4.5: Programs for machine learning, Morgan Kaufmann Publisher.
L. Breiman, J. H. Friedman, R. A. Olshen, and C. J. Stone, (1984) Classification and regression trees, Wadsworth.
H. O. Lancaster, (1969) The chi-squared distribution, John & Sons.