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Computational Genomics with R (Chapman & Hall/CRC Computational Biology Series) by Altuna Akalin is a nonfiction available to read on EtoBox.

What is Computational Genomics with R (Chapman & Hall/CRC Computational Biology Series) about?

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensio

Who reads Computational Genomics with R (Chapman & Hall/CRC Computational Biology Series)?

Author

Altuna Akalin

Publisher

CRC Press, Taylor & Francis Group

Published

2020

Language

EN

ISBN

9780429532764

Category

nonfiction

Subjects

Mathematics, Science, Medical