Электронная книга: Dehmer Matthias «Statistical Diagnostics for Cancer. Analyzing High-Dimensional Data»
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This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological point of view, the well balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of sufficient computer power in recent years has shifted attention from parametric to nonparametric methods, the methods presented here make use of such computer-intensive approaches as Bootstrap, Markov Chain Monte Carlo or general resampling methods. Finally, due to the large amount of information available in public databases, a chapter on Bayesian methods is included, which also provides a systematic means to integrate this information. A welcome guide for mathematicians and the medical and basic research communities. Издательство: "John Wiley&Sons Limited"
ISBN: 9783527665440 электронная книга Купить за 12483.68 руб и скачать на Litres |
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| Statistical and Machine Learning Approaches for Network Analysis | Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for… — John Wiley&Sons Limited, электронная книга Подробнее... | электронная книга | ||
| Analysis of Complex Networks. From Biology to Linguistics | Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc… — John Wiley&Sons Limited, электронная книга Подробнее... | электронная книга |
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