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Molecular Data Analysis Using R
Molecular Data Analysis Using R
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€96.99
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A01=Csaba Ortutay
A01=Zsuzsanna Ortutay
Age Group_Uncategorized
Age Group_Uncategorized
analysis
Author_Csaba Ortutay
Author_Zsuzsanna Ortutay
authors
automatic-update
bioconductor
bioinformatics
biological
book
Category1=Non-Fiction
Category=PBT
Category=PDE
Category=PS
content
COP=United Kingdom
courses
data
Delivery_Delivery within 10-20 working days
difficulties
eq_bestseller
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
experienced
experimental
explain
field
Language_English
molecular
PA=Available
Price_€50 to €100
PS=Active
softlaunch
statistical analysis
two
university
wet lab researchers
Product details
- ISBN 9781119165026
- Weight: 680g
- Dimensions: 165 x 241mm
- Publication Date: 03 Feb 2017
- Publisher: John Wiley and Sons Ltd
- Publication City/Country: GB
- Product Form: Paperback
- Language: English
This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories.
Key features include:
• Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered.
• First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology.
• Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.
Key features include:
• Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered.
• First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology.
• Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.
Csaba Ortutay is a bioinformatician from Finland who has taught several bioinformatics courses at different European universities (Finland, Ireland, and Hungary) for over a decade. He is also active as a researcher publishing in the field of computational immunology.
Zsuzsanna Ortutay is a molecular immunologist at the University of Tampere, Finland, frequently utilizing diverse molecular lab methods.
Molecular Data Analysis Using R
€96.99
