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Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks
TLDR
We introduce Probabilistic Boolean Networks (PBN) that share the appealing rule-based properties of Boolean networks, but are robust in the face of uncertainty. Expand
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Ratio-based decisions and the quantitative analysis of cDNA microarray images.
Gene expression can be quantitatively analyzed by hybridizing fluor-tagged mRNA to targets on a cDNA micro-array. Comparison of gene expression levels arising from co-hybridized samples is achievedExpand
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Fuzzification of set inclusion: theory and applications
Abstract Fuzzification of set inclusion for fuzzy sets is developed in terms of an indicator for set inclusion, the indicator giving the degree to which a fuzzy set is a subset of another fuzzy set.Expand
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Hands-on Morphological Image Processing
TLDR
Morphological image processing, a standard part of the imaging scientist's toolbox, can be applied to a wide range of industrial applications. Expand
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From Boolean to probabilistic Boolean networks as models of genetic regulatory networks
TLDR
This paper introduces the Boolean formalism as a building block for modeling complex, large-scale, and dynamical networks of genetic interactions. Expand
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Is cross-validation valid for small-sample microarray classification?
TLDR
We compare cross-validation, resubstitution and bootstrap estimation for three popular classification rules-linear discriminant analysis, 3-nearest-neighbor and decision trees-using both synthetic and real breast-cancer patient data. Expand
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An introduction to morphological image processing
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Gene selection: a Bayesian variable selection approach
TLDR
We propose a hierarchical Bayesian model for gene (variable) selection using latent variables to specialize the model to a regression setting and uses a Bayesian mixture prior to perform the variable selection. Expand
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Coefficient of determination in nonlinear signal processing
TLDR
This paper discusses the coe$cient of determination in the context of nonlinear digital signal and image processing. Expand
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Morphological methods in image and signal processing
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