Statistical modeling and machine learning for molecular biology

Statistical modeling and machine learning for molecular biology

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LF/128244/R
Англійська
Alan
Moses
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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
LF/128244/R

Характеристики

ФІО Автора
Alan
Moses
Мова
Англійська
Серія
Chapman and Hall/CRC mathematical & computational biology series
ISBN
9784778632281
Дата виходу
2016

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Statistical modeling and machine learning for molecular biology

Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to...

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