Data Analytics, Bioinformatics, and Machine Learning

In this book I describe how to use computational, algorithmic, statistical, and informatics methods to analyze any data that is captured in digital form, whether it be text, sequential data in general (such as experimental observations over time, or stock market and econometric histories), or symbolic data such as genome and transcriptome data.