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Titlebook: Inleiding in de farmacotherapie; H. Elling Textbook 2009Latest edition Bohn Stafleu van Loghum 2009

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re based on a poorly understood underlying data system. Two kinds of problems, based on the degree of spatialization, are addressed: the first kind of problem possesses an inherent spatial semantic in which all of the relevant characteristics of the observed entities are of a spatial nature; the oth
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H. Ellingloped in the realm of fuzzy sets that are helpful in establishing a closer interaction with a user/designer. This type of human intervention, completed at the linguistic level, becomes necessary in order to make the process more interactive and to promote a highly interactive collaboration with the
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H. Ellingptimization methods have on structural models and how validation tools can be used to make informed choices. We also discuss specific advantages of using the PDB_REDO databank as a resource for structural data. Finally, we will provide guidelines on how to select the most suitable protein structure
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H. Ellingta, and methods to correct for it are presented, as well as approaches to detect and correct for experimental biases and batch effects, which often plague high-throughput assays. We highlight the importance of sharing data and analysis code to facilitate reproducibility and present tools and softwar
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H. Ellingf the search queries at query coverage better than 60%. For 1040 protein families with no available structure, fold associations were made through searches in the database of natural and designed sequence profiles. Most of the associations were made with the Alpha-alpha superhelix, Transmembrane bet
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it very difficult for clinicians and other stakeholders to trust their deep learning models even though the model predictions appear to be highly accurate. In this chapter, we therefore provide a detailed summary of the deep net architectures typically used in omics research, together with a compreh
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