Abstract
"A Chapman & Hall book." Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author's first-hand experiences as an expert in R, the book begins with coverage on the general properties of the R language, several unique programming aspects of R, and object-oriented programming in R. It presents methods for data input and output as well as database inte. Introducing R -- R language fundamentals -- Object-oriented programming in R -- Input and output in R -- Working with character data -- Foreign language interfaces -- R packages -- Data technologies -- Debugging and profiling.
Cite
CITATION STYLE
Leeuw, J. de. (2009). R Programming for Bioinformatics. Journal of Statistical Software, 29(Book Review 8). https://doi.org/10.18637/jss.v029.b08
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