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Titlebook: Data Integration in the Life Sciences; 5th International Wo Amos Bairoch,Sarah Cohen-Boulakia,Christine Froide Conference proceedings 2008

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https://doi.org/10.1007/978-3-030-81085-6enomes? Using its rdfizing services, a semantic mashup of 65 million triples was built from 30 public bioinformatics data providers: GO, NCBI, UniProt, KEGG, PDB and many others. The average link-rank (ALR) of a node is 4.7 which means that a usual topic is connected to 4.7 other topics by direct or
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Finbarr G. Horgan,Enoka P. Kudavidanageeasingly valuable to map ontologies each other to determine which of their concepts are semantically related. Nowadays, developed tools are often semi-automatic and require the help of experts. Determining semantic relations between concepts is a difficult task, and the problem is still open. Severa
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Human Intestinal Epithelial Response(s) to ,ets frequently employed for this task contain a high proportion of instances related to ribosomal proteins. We demonstrate that this situation biases the classification results and additionally that the prediction of non-ribosomal based PPI is a much more difficult task. In order to improve the perf
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Human Intestinal Epithelial Response(s) to , knowledge to guide the process of spectral clustering of microarray experiments. The microarray data from a set of repeat experiments are converted to an affinity, or similarity, matrix using a Gaussian function. We have investigated two methods to determine the optimal Gaussian variance for this p
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