Using Dirichlet Mixture Priors to Derive Hidden Markov Models for Protein Families

A brief look at some machine learning problems in genomics

COLT '97 Proceedings of the tenth annual conference on Computational learning theory

An iterative method for improved protein structural motif recognition

RECOMB '97 Proceedings of the first annual international conference on Computational molecular biology

Supervised learning of hidden Markov models for sequence discrimination

RECOMB '97 Proceedings of the first annual international conference on Computational molecular biology

Family-based homology detection via pairwise sequence comparison

RECOMB '98 Proceedings of the second annual international conference on Computational molecular biology

Improving Profile-Profile Alignments via Log Average Scoring

WABI '01 Proceedings of the First International Workshop on Algorithms in Bioinformatics

Improved Learning for Hidden Markov Models Using Penalized Training

AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science

Functional classification of proteins by pattern discovery and top-down clustering of primary sequences

IBM Systems Journal - Deep computing for the life sciences

A new approach to the assessment of the quality of predictions of transcription factor binding sites

Journal of Biomedical Informatics

Integrating Thermodynamic and Observed-Frequency Data for Non-coding RNA Gene Search

Transactions on Computational Systems Biology X

Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis

Computational Statistics & Data Analysis

Introducing dependencies into alignment analysis and its use for local structure prediction in proteins

PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics

A novel optimization of profile HMM by a hybrid genetic algorithm

IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems

Sampling designs via a multivariate hypergeometric-Dirichlet process model for a multi-species assemblage with unknown heterogeneity

Computational Statistics & Data Analysis

Genre-Based Music Language Modeling with Latent Hierarchical Pitman-Yor Process Allocation

IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)