8 Result(s)
within
Conference Paper
Dick de Ridder
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Chapter and Conference Paper
Conditional Random Fields for Protein Function Prediction
Markov Random Fields (MRF) have been shown to be good predictors of functional annotation, using protein-protein interaction data. Many other sources of data can also be used in this prediction task, but they ...
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Chapter and Conference Paper
Using Predictive Models to Engineer Biology: A Case Study in Codon Optimization
Given recent advances in synthetic biology and DNA synthesis, there is an increasing need for carefully engineered biological parts (e.g. genes, promoter sequences or enzymes) and circuits. However, forward en...
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Chapter and Conference Paper
Local Topological Signatures for Network-Based Prediction of Biological Function
In biology, similarity in structure or sequence between molecules is often used as evidence of functional similarity. In protein interaction networks, structural similarity of nodes (i.e., proteins) is often c...
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Chapter and Conference Paper
Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger
The cell-factory Aspergillus niger is widely used for industrial enzyme production. To select potential proteins for large-scale production, we developed a sequence-based classifier that predicts if an over-expre...
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Chapter and Conference Paper
Texture Segmentation Using the Mixtures of Principal Component Analyzers
The problem of segmenting an image into several modalities representing different textures can be modelled using Gaussian mixtures. Moreover, texture image patches when translated, rotated or scaled lie in low...
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Chapter and Conference Paper
Supervised Locally Linear Embedding
Locally linear embedding (LLE) is a recently proposed method for unsupervised nonlinear dimensionality reduction. It has a number of attractive features: it does not require an iterative algorithm, and just a ...
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Chapter and Conference Paper
Texture Description by Independent Components
A model for probabilistic independent component subspace analysis is developed and applied to texture description. Experiments show it to perform comparably to a Gaussian model, and to be useful mainly for pro...
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Chapter and Conference Paper
The Adaptive Subspace Map for Image Description and Image Database Retrieval
In this paper, a mixture-of-subspaces model is proposed to describe images. Images or image patches, when translated, rotated or scaled, lie in low-dimensional subspaces of the high-dimensional space spanned b...
