Titlebook: Basics of Bioinformatics; Lecture Notes of the Rui Jiang,Xuegong Zhang,Michael Q. Zhang Book 2013 Tsinghua University Press, Beijing and Sp

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書目名稱Basics of Bioinformatics影響因子(影響力)




書目名稱Basics of Bioinformatics影響因子(影響力)學(xué)科排名




書目名稱Basics of Bioinformatics網(wǎng)絡(luò)公開度




書目名稱Basics of Bioinformatics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Basics of Bioinformatics被引頻次




書目名稱Basics of Bioinformatics被引頻次學(xué)科排名




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書目名稱Basics of Bioinformatics年度引用學(xué)科排名




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書目名稱Basics of Bioinformatics讀者反饋學(xué)科排名

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High-Performance Composite StructuresIn bioinformatics research, data sets usually contain tens of thousands of variables, such as different genes and proteins. Statistical methods for analyzing such multivariate data sets are important. In this chapter, multivariate statistical methods will be reviewed, and some challenges in bioinformatic research will be also discussed.

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New Vistas for First-Principles SimulationA hands-on course mainly for the applications of bioinformatics to biological problems was organized at Peking University. The course materials are from http://abc.cbi.pku.edu.cn. They are divided into individual pages (separated by lines in the text):

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Algorithms in Computational Biology,What is an algorithm? An algorithm is a sequence of unambiguous instructions for solving a problem, i.e., for obtaining a required output for any legitimate input in a finite amount of time. Figure 5.1 gives illustrative description of the relation between problem, algorithm and, the input and output of an algorithm.

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Multivariate Statistical Methods in Bioinformatics Research,In bioinformatics research, data sets usually contain tens of thousands of variables, such as different genes and proteins. Statistical methods for analyzing such multivariate data sets are important. In this chapter, multivariate statistical methods will be reviewed, and some challenges in bioinformatic research will be also discussed.

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