Browsing by Author "Mutter, Stefan"
Now showing items 1-5 of 7
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A discriminative approach to structured biological data
(The University of Waikato, 2007)This paper introduces the first author’s PhD project which has just got out of its initial stage. Biological sequence data is, on the one hand, highly structured. On the other hand there are large amounts of unlabelled ... -
The positive effects of negative information: Extending one-class classification models in binary proteomic sequence classification
(Springer, 2009)Profile Hidden Markov Models (PHMMs) have been widely used as models for Multiple Sequence Alignments. By their nature, they are generative one-class classifiers trained only on sequences belonging to the target class they ... -
Propositionalisation of multiple sequence alignments using probabilistic models
(Canterbury University, 2008)Multiple sequence alignments play a central role in Bioinformatics. Most alignment representations are designed to facilitate knowledge extraction by human experts. Additionally statistical models like Profile Hidden Markov ... -
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
(Springer, 2008)Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent, for example, protein families. In this ... -
Re-using DSpace to build a repository for freshwater quality data
(2013)This presentation describes how we are adapting DSpace to build LERNZdb, a repository for storing and disseminating New Zealand freshwater quality data. While the original intention in this project was to build a database ...
