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Mastering Predictive Analytics with R

You're reading from   Mastering Predictive Analytics with R Master the craft of predictive modeling by developing strategy, intuition, and a solid foundation in essential concepts

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Product type Paperback
Published in Jun 2015
Publisher
ISBN-13 9781783982806
Length 414 pages
Edition 1st Edition
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Toc

Table of Contents (13) Chapters Close

Preface 1. Gearing Up for Predictive Modeling 2. Linear Regression FREE CHAPTER 3. Logistic Regression 4. Neural Networks 5. Support Vector Machines 6. Tree-based Methods 7. Ensemble Methods 8. Probabilistic Graphical Models 9. Time Series Analysis 10. Topic Modeling 11. Recommendation Systems Index

Predicting promoter gene sequences


The first application we will study in detail comes from the field of biology. There, we learn that the basic building blocks of DNA molecules are actually four fundamental molecules known as nucleotides. These are called Thymine, Cytosine, Adenine, and Guanine, and it is the order in which these molecules appear in a DNA strand that encodes the genetic information carried by the DNA.

An interesting problem in molecular biology is finding promoter sequences within a larger DNA strand. These are special sequences of nucleotides that play an important role in regulating a genetic process known as gene transcription. This is the first step in the mechanism by which information in the DNA is read.

The molecular biology (promoter gene sequences) data set, hosted by the UCI Machine Learning repository at https://archive.ics.uci.edu/ml/datasets/Molecular+Biology+(Promoter+Gene+Sequences) contains a number of gene sequences from DNA belonging to the bacterium E....

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