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Titlebook: Methods of Microarray Data Analysis V; Patrick McConnell,Simon M. Lin,Patrick Hurban Book 2007 Springer-Verlag US 2007 CAMDA 2005.Expressi

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書目名稱Methods of Microarray Data Analysis V
編輯Patrick McConnell,Simon M. Lin,Patrick Hurban
視頻videohttp://file.papertrans.cn/633/632403/632403.mp4
概述Dedicated solely to the analysis of microarray data.Unique approach of "presenting different methods by analyzing the same data set" shows the strengths and weakness of each method.Provides a wide ran
圖書封面Titlebook: Methods of Microarray Data Analysis V;  Patrick McConnell,Simon M. Lin,Patrick Hurban Book 2007 Springer-Verlag US 2007 CAMDA 2005.Expressi
描述.As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA (Critical Assessment of Microarray Data Analysis) conference was the first to establish a forum for a cross section of researchers to look at a common data set and apply innovative analytical techniques to microarray data. Methods of Microarray Analysis V includes selected papers from CAMDA‘04, and focuses on data sets relating to a significant global health issue, malaria. Previous books focused on classification (V. I), pattern recognition (V. II), quality control issues (V. III), and associating array data with a survival endpoint, lung cancer, (V. IV). The contributions come from research fields including statistics, biology, computer science and mathematics. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers..
出版日期Book 2007
關(guān)鍵詞CAMDA 2005; Expression; Nucleotide; Protein; Regulation; Translation; chromosome; classification; gene expre
版次1
doihttps://doi.org/10.1007/978-0-387-34569-7
isbn_softcover978-1-4419-4179-4
isbn_ebook978-0-387-34569-7
copyrightSpringer-Verlag US 2007
The information of publication is updating

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Raphael D. Isokpehihave constant and efficient maintenance. Structural Health Monitoring (SHM) can be described as the method of monitoring and evaluating the structural health through the collection and analysis of data extracted from sensors, which are connected or not to the structure in the matter. In this way, th
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Junior Barrera,Roberto M. Cesar Jr.,David C. Martins Jr.,Ricardo Z. N. Vêncio,Emilio F. Merino,Márcif the joint operation of concrete and steel coupled with respective failure models. In addition to that, new advances are made in the field of dynamics engineering due to the complexity and importance for seismic and impact activities worldwide. However, numerical models based on finite element code
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