Titlebook: Advances in Bioinformatics and Computational Biology; Second Brazilian Sym Marie-France Sagot,Maria Emilia M. T. Walter Conference proceedi

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Alfred Pauser (Em. O. Univ.-Prof. DI Dr.)eceptor. This process is usually executed using shell scripts which input parameters assignments and result analyses are complex and time consuming. Moreover, receptors and ligands are naturally flexible molecules. In order to explicitly model the receptor flexibility during molecular docking experi

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,Brücken der Stadtbahn und Vorortelinie,ype. This method creates a ranked list of genes, which is used to calculate an enrichment score. In this work, we introduce two different metrics for gene ranking in GSEA, namely the Wilcoxon and the Baumgartner-Wei?-Schindler tests. The advantage of these metrics is that they do not assume any part

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https://doi.org/10.1007/3-211-38021-3d clustering methods. In order to aid the discovery of alternative structures present in the data, we consider the knowledge of some existing complete classification of such data. The approach proposed is based on our Multi-Objective Clustering Ensemble algorithm (MOCLE). This algorithm generates a

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Alfred Pauser (Em. O. Univ.-Prof. DI Dr.)on of the Gene Ontology structure guided by mutual information. Our approach yields a global assessment of the clustering quality, and a higher level interpretation for the clusters, as it relates GO terms with specific clusters. We show that in two gene expression data sets our method offers an imp

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