Analysis and Interpretation of High Throughput Gene Expression - Experiment

Microarrays allow researchers to simultaneously monitor the expression of thousands of genes. Independent of the platform and analysis methods used, the result of a microarray experiment is a list of differentially expressed genes. Presenting a unified analysis of the field, this book explores the tools available to better understand the underlying biological phenomena of differentially expressed genes. It focuses on two major analytic approaches: 1) ontological profiling and 2) gene interaction networks and known pathways. The author presents the fundamentals and tools for each approach.

Summary

Microarrays allow researchers to simultaneously monitor the expression of thousands of genes. Independent of the platform and analysis methods used, the result of a microarray experiment is a list of differentially expressed genes. Presenting a unified analysis of the field, this book explores the tools available to better understand the underlying biological phenomena of differentially expressed genes. It focuses on two major analytic approaches: 1) ontological profiling and 2) gene interaction networks and known pathways. The author presents the fundamentals and tools for each approach.

Product details

• Authors: Sorin Draghici, Sorin (Wayne State University Draghici
• Assisted by: Alison M. Etheridge (Editor of the series), Louis J. Gross (Editor of the series), Suzanne Lenhart (Editor of the series), Philip K. Maini (Editor of the series), Shoba Ranganathan (Editor of the series), Hershel Safer (Editor of the series), Eberhard O. Voit (Editor of the series)
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Release: 31.07.2019, delayed
• EAN: 9781584886853
• ISBN: 978-1-58488-685-3
• No. of pages: 306
• Series: Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Mathematical and Computational Biology; Chapman & Hall/CRC Computational Biology Series
• Subject: Natural sciences, medicine, IT, technology > Biology