Bayesian Inference for Gene Expression and Proteomics 2024 pdf epub mobi 電子書 下載


Bayesian Inference for Gene Expression and Proteomics

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The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. This book discusses the development and application of Bayesian methods in the analysis of high-throughput bioinformatics data that arise from medical, in particular, cancer research, as well as molecular and structural biology. The Bayesian approach has the advantage that evidence can be easily and flexibly incorporated into statistical methods. A basic overview of the biological and technical principles behind multi-platform high-throughput experimentation is followed by expert reviews of Bayesian methodology, tools and software for single group inference, group comparisons, classification and clustering, motif discovery and regulatory networks, and Bayesian networks and gene interactions.

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Bayesian Inference for Gene Expression and Proteomics 2024 pdf epub mobi 電子書 下載

Bayesian Inference for Gene Expression and Proteomics 2024 pdf epub mobi 電子書 下載

Bayesian Inference for Gene Expression and Proteomics 2024 pdf epub mobi 電子書 下載



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出版者:Cambridge Univ Pr
作者:Muller, Peter (EDT)/ Vannucci, Marina (EDT)
出品人:
頁數:437
譯者:
出版時間:2006-7
價格:$ 123.17
裝幀:HRD
isbn號碼:9780521860925
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Bayesian Inference for Gene Expression and Proteomics 2024 pdf epub mobi 電子書 下載
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