Statistical Modeling and Machine Learning for Molecular Biology by Alan Moses
* Assumes no background in statistics or computers
* Covers most major types of molecular biological data
* Covers the statistical and machine learning concepts of most practical utility (P-values, clustering, regression, regularization and classification)
* Intended for graduate students beginning careers in molecular biology, systems biology, bioengineering and genetics