Opening book details…
Can I read Data Analysis Tools for DNA Microarrays on EtoBox?
Data Analysis Tools for DNA Microarrays by Drăghici, Sorin is a book available to read on EtoBox.
What is Data Analysis Tools for DNA Microarrays about?
<p>Technology today allows the collection of biological information at an unprecedented level of detail and in increasingly vast quantities. To reap real knowledge from the mountains of data produced, however, requires interdisciplinary skills-a background not only in biology but also in computer science and the tools and techniques of data analysis.</p> <p>To help meet the challenges of DNA research, Data Analysis Tools for DNA Microarrays builds the foundation in the statistics and data analysis tools needed by biologists and provides the overview of microarrays needed by computer scientists. It first presents the basics of microarray technology and more importantly, the specific problems the technology poses from the data analysis perspective. It then introduces the fundamentals of statistics and the details of the techniques most commonly used to analyze microarray data. The final chapter focuses on commercial applications with sections exploring various software packages from BioDiscovery, Insightful, SAS, and Spotfire. The book is richly illustrated with more than 230 figures in full color and comes with a CD-ROM containing full-feature trial versions of software for image an
- Author
- Drăghici, Sorin
- Publisher
- Chapman and Hall/CRC
- Published
- 2003
- Language
- EN
- ISBN
- 9781584883159
- Subjects
- Science, Medical, Mathematics
More by Drăghici, Sorin
Browse all works by Drăghici, Sorin
Similar books
- Classification Analysis of DNA Microarrays (1800)
- Gene Expression Data Analysis: A Statistical and Machine Learning Perspective — Pankaj Barah (2021)
- Bioinformatics Tools for Data Analysis — L. Koumakis; C. Mizzi; G. Potamias (2017)
- DNA Microarrays and Related Genomics Techniques: Design, Analysis, and Interpretation of Experiments (Biostatistics) — David B. Allison; Grier P. Page; T. Mark Beasley; Jode W. Edwards (2006)
- Statistics and Data Analysis for Microarrays Using R and Bioconductor — Sorin Drăghici (2019)
- Molecular Data Analysis Using R — Csaba Ortutay; Zsuzsanna Ortutay (2016)