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R bioconductor case studies（use R）
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上传时间: 2015-07-05
详细说明： Recent developments in genomics andmolecular biology finally carry the promise of understanding the functions of complex biological systems on a whole genome level. These developments have led to enormous amounts of data generated in highthroughput technologies, most prominently in gene expression microarrays. Within the Bioconductor project, an increasing number of researchers are trying to establish solutions for the analysis of such data, combining knowledge from such diverse disciplines as statistics, computer science, bioin formatics, and molecular biology. With microarrays becoming a standard technology in many molecular biology labs, there is increased demand for comprehensive yet easy to fol-low instructions to the complex data analysis process. After many years of teaching introductory Bioconductor courses we can identify the main topics of interest, the commonmisunderstandings and pitfalls, and have learned to better understand key problems with which beginners to the analysis tasks are often challenged. In this book, we try to guide the readers through each step of the data analysis process, beginning from import and data processing to the generation of lists of differentially expressed genes and finally the modeling and interpretation of these lists in downstream analy-ses. Every chapter focuses on real data use cases that illustrate the problem, and we present both executable code and detailed background informa-tion for each step. ...展开收缩
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