This book is addressed to numerate biologists who typically lack the formal mathematical background of the professional statistician. For this reason, considerably more detail in explanations and derivations is offered. It is written in a concise style and examples are used profusely. A large proportion of the examples involve programming with the open-source package R. The R code needed to solve the exercises is provided. The MarkDown interface allows the students to implement the code on their own computer, contributing to a better understanding of the underlying theory.
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₹4,750.00
Statistical Learning in Genetics
This book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, where millions of genetic markers for each individual are coupled with medical records, generating an unparalleled resource for linking human genetic variation to human biology and disease.
₹9,500.00₹14,250.00
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| Weight | 1 kg |
|---|---|
| Dimensions | 24 × 16 × 4 cm |
| Book Author | Daniel Sorensen |
| Edition | 1st |
| Format | Hardback |
| ISBN | 9783031358500 |
| Language | English |
| Pages | 693 |
| Publication Year | |
| Publisher |
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