
- 264 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Statistical Modeling and Machine Learning for Molecular Biology
About this book
Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Statistical Modeling and Machine Learning for Molecular Biology by Alan Moses in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Games. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Contents
- Acknowledgments
- SECTION I: Overview
- SECTION II: Clustering
- SECTION III: Regression
- SECTION IV: Classification
- INDEX