Titlebook: Hydrogen and Fuel Cell; Technologies and Mar Johannes T?pler,Jochen Lehmann Book 20161st edition Springer-Verlag Berlin Heidelberg 2016 Con

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Christian Mohrdieck,Massimo Venturi,Katrin Breitrück,Herbert Schulzer challenges of public health. Early-stage detection, specialized stage treatments can significantly defer or prevent the progress of CKDs. Currently, clinical CKD stage diagnoses are mainly based on the level of glomerular filtration rate (GFR). However, there are many different equations and appro

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Andreas Westenbergerand life at the molecular level. Especially, the size of features for each protein is very huge and the number of labeled samples is limited, which can significantly affect the annotation accuracy. To address these issues, we propose a novel semi-supervised graph deep learning model that aims to lea

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Angelika Heinzel,Jens Wartmann,Georg Dura,Peter Helmc landscape of thousands of cells. However, the current great sparsity of the resulting data poses significant challenges to their interpretability and informativeness. Different computational methods are available, proposing ways to generate significant features from accessibility data and process

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Christoph Stiller,Henning Hochrinneromal degradation of STAT2, although the entire mechanism is still unknown. In this study, a three-dimensional model of the full STAT2 protein (C-score?=?.) was validated. Likewise, the top scored docked complex NS5-STAT2 is presented among several other models; the top model shows a total stabilizin

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Thomas Grube,Bernd H?hleinneed to improve evaluative criteria for pRCC due to overlapping diagnostic characteristics in RCC subtypes. To create a better prognostic model for pRCC, we proposed an integration of morphologic and genomic features. Matched images and genomic data from The Cancer Genome Atlas were used. Image feat