Titlebook: Nutrient-Induced Responses in Eukaryotic Cells; Joris G. Winderickx,Peter M. Taylor Book 20041st edition Springer-Verlag Berlin Heidelberg

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Toshiaki Harashima,Joseph Heitman of code are enough to apply dozens of algorithms on any dataset. It is therefore “super easy” for data scientists to produce machine learning (ML) models in a very limited time. On the counterpart, domain experts may have the impression that such ML models are just a black box, almost magic, that w

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Ronald C. Wek,Kirk A. Staschke,Jana Narasimhan can be augmented further to enable real-world decision support as well as providing customers with personalized recommendations. For example, by analyzing receipts of TOTAL customers, one can find that, customers who buy windshield wash, also buy engine oil and energy drinks or middle-aged customer

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Ted Powers,Ching-Yi Chen,Ivanka Dilova,Aaron Reinke,Karen P. Wedamanpecial issue on data management and its principles, technoloThe LNCS journal Transactions on Large-scale Data and Knowledge-centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has

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Johnny Roosen,Christine Oesterhelt,Katrien Pardons,Erwin Swinnen,Joris Winderickxing machine learning effectively for non data analytics experts as well as novices increased dramatically. Furthermore, building machine learning models in the context of Big Data environments still represents a great challenge. In the present article, those challenges are addressed by introducing a

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2 Nutrient sensing in animal cells and integration of nutrient and endocrine signalling pathways, are often regarded as having the dominant role in regulating the responses of tissues to altered nutrient availability, but there is mounting evidence that particular nutrients (perhaps acting through specific receptor or “sensor” mechanisms) have the capability to initiate cell-signalling events a