Molecular Data Analysis Using R

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics
Cover of the book Molecular Data Analysis Using R by Csaba Ortutay, Zsuzsanna Ortutay, Wiley
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Author: Csaba Ortutay, Zsuzsanna Ortutay ISBN: 9781119165040
Publisher: Wiley Publication: December 29, 2016
Imprint: Wiley-Blackwell Language: English
Author: Csaba Ortutay, Zsuzsanna Ortutay
ISBN: 9781119165040
Publisher: Wiley
Publication: December 29, 2016
Imprint: Wiley-Blackwell
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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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