Studying the Conditions for Learning Dynamic Bayesian Networks to Discover Genetic Regulatory Networks. - Rogier J. P. van Berlo; Eugene P. van Someren; Marcel J. T. Reinders (Simul., 2003)

Identifying Orthologs: Cycle Splitting on the Breakpoint Graph. - Rogier J. P. van Berlo; Lodewyk F. A. Wessels; S. D. C. Martes; Marcel J. T. Reinders (CSB Workshops, 2005)

Predicting gene function by combining expression and interaction data. - Rogier J. P. van Berlo; Lodewyk F. A. Wessels; S. D. C. Martes; Marcel J. T. Reinders (CSB Workshops, 2005)

Protein Complex Prediction Using an Integrative Bioinformatics Approach. - Rogier J. P. van Berlo; Lodewyk F. A. Wessels; Dick de Ridder; Marcel J. T. Reinders (J. Bioinform. Comput. Biol., 2007)

Metabolite and reaction inference based on enzyme specificities. - Marco J. L. de Groot; Rogier J. P. van Berlo; Wouter A. van Winden; Peter J. T. Verheijen; Marcel J. T. Reinders; Dick de Ridder (Bioinform., 2009)

Predicting Metabolic Fluxes Using Gene Expression Differences As Constraints. - Rogier J. P. van Berlo; Dick de Ridder; Jean-Marc Daran; Pascale A. S. Daran-Lapujade; Bas Teusink; Marcel J. T. Reinders (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Efficient calculation of compound similarity based on maximum common subgraphs and its application to prediction of gene transcript levels. - Rogier J. P. van Berlo; Wynand Winterbach; Marco J. L. de Groot; Andreas Bender 002; Peter J. T. Verheijen; Marcel J. T. Reinders; Dick de Ridder (Int. J. Bioinform. Res. Appl., 2013)