Statistical Modeling and Machine Learning for Molecular Biology - Chapman & Hall / CRC Computational Biology Series - Moses, Alan (University of Toronto, Canada) - Books - Taylor & Francis Ltd - 9781138407213 - July 27, 2017
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Moses, Alan (University of Toronto, Canada)
Statistical Modeling and Machine Learning for Molecular Biology - Chapman & Hall / CRC Computational Biology Series 1st edition

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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.

280 pages

Media Books     Hardcover Book   (Book with hard spine and cover)
Released July 27, 2017
ISBN13 9781138407213
Publishers Taylor & Francis Ltd
Pages 280
Dimensions 150 × 220 × 20 mm   ·   453 g
Language English  

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