TY - JOUR AU - Roux, Brian AU - Winters-Hilt, Stephen PY - 2008 DA - 2008/08/12 TI - Hybrid MM/SVM structural sensors for stochastic sequential data JO - BMC Bioinformatics SP - S12 VL - 9 IS - 9 AB - In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-Intron (5' and 3') splice sites. We present the use of Markov based statistical methods, in a log likelihood discriminator framework, to create a non-summed, fixed-length, feature vector for SVM-based classification. We also explore the use of Shannon-entropy based analysis for automated identification of minimal-size models (where smaller models have known information loss according to the specified Shannon entropy representation). We evaluate a variety of kernels and kernel parameters in the classification effort. We present results of the algorithms for splice-site datasets consisting of sequences from a variety of species for comparison. SN - 1471-2105 UR - https://doi.org/10.1186/1471-2105-9-S9-S12 DO - 10.1186/1471-2105-9-S9-S12 ID - Roux2008 ER -