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RJP van Berlo

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Shifts in growth strategies reflect tradeoffs in cellular economics

Studying the conditions for learning dynamic bayesian networks to discover genetic regulatory networks

Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae
Doctoral thesis - RJP van Berlo

Examining the suitability of dynamic Bayesian networks for discovering genetic regulatory interactions

Predicting protein complexes by employing an integrative bioinformatics approach

Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels

Metabolite and reaction inference based on enzyme specificities

Revealing cellular objective functions by incorparating gene expression-based contraints in a flux balance analysis framework

Protein complex prediction using an integrative bioinformatics approach

Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels

Predicting metabolic flow-routes based on gene expression data

Predicting metabolic fluxes using gene expression differences as constraints

Flux minimization analysis: gene downregulation indicates hierarchical control of metabolic fluxes