Omic Association Studies with R and Bioconductor
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"This book is a good tool for self-learning analytical strategies for omics data. It requires previous knowledge of R and focuses on getting things done...I think the book would be a good reference for masters or PhD students that have to perform their analysis and need a starting point. Also, for the practicing statistician working with omics data."
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- Victor Moreno, ISCB News, July 2020
After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Les mer
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Emphasises extracting biologically meaningful associations between traits of interest and genomic, transcriptomic and epigenomic data
Uses up-to-date methods to exploit omic data
Presents methods through specific examples and computing sessions
Supplemented by a website, including code, datasets, and solutions
Detaljer
- Forlag
- Chapman & Hall/CRC
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 376
- ISBN
- 9780367728106
- Utgivelsesår
- 2020
- Format
- 23 x 16 cm
Anmeldelser
«
"This book is a good tool for self-learning analytical strategies for omics data. It requires previous knowledge of R and focuses on getting things done...I think the book would be a good reference for masters or PhD students that have to perform their analysis and need a starting point. Also, for the practicing statistician working with omics data."
»
- Victor Moreno, ISCB News, July 2020