ENGLISH

Statistical modeling and machine learning for molecular biology

By Moses , Alan

Book information

Publisher
Chapman and Hall/CRC
Year
2016
ISBN
4778632281, 978-1-4822-5859-2, 1482258595, 9781482258608, 1482258609, 9781482258615, 1482258617, 9781482258622, 1482258625
Language
english
Format
PDF
Filesize
8 MB (7961304 bytes)
Series
Chapman and Hall/CRC mathematical & computational biology series
Pages
264\281
Time added
2017-01-21 08:00:00
Molecular biology;Statistical methods.;Molecular b

Description

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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