Skip to Main Content
R Programming for Bioinformatics
book

R Programming for Bioinformatics

by Robert Gentleman
July 2008
Intermediate to advanced content levelIntermediate to advanced
328 pages
10h 53m
English
Chapman and Hall/CRC
Content preview from R Programming for Bioinformatics
Chapter 3
Object-Oriented Programming in R
3.1 Introduction
Object-oriented programming (OOP) has become a widely used and valu-
able tool for software engineering. Much of its value derives from the fact
that it is often easier to design, write and maintain software when there is
some clear separation of the data representation from the operations that are
to be performed on it. In an OOP system, real physical things (like airline
passengers or the data from a microarray experiment) are generally repre-
sented by classes, and metho ds (functions) are written to handle the dierent
manipulations that need to be performed on the objects.
The views that ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Computation in BioInformatics

Computation in BioInformatics

S. Balamurugan, Anand T. Krishnan, Dinesh Goyal, Balakumar Chandrasekaran, Boomi Pandi
R for Data Science Cookbook (n)

R for Data Science Cookbook (n)

Prabhanjan Narayanachar Tattar, Yu-Wei, Chiu (David Chiu)

Publisher Resources

ISBN: 9781420063677