Statistical Modeling and Machine Learning for Molecular Biology
by
Alan Moses
Book Details
Format
Hardback or Cased Book
Book Series
Chapman & Hall/CRC Computational Biology Series
ISBN-10
1138407216
ISBN-13
9781138407213
Publisher
Taylor & Francis Ltd
Imprint
CRC Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 27th, 2017
Print length
280 Pages
Weight
453 grams
Product Classification:
Probability & statisticsProbability and statisticsBiology, life sciences
Ksh 37,800.00
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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.
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