Computational Text Analysis: For Functional Genomics and Bioinformatics
Author:   Soumya Raychaudhuri (, Stanford University)
Publisher:   Oxford University Press
ISBN:  

9780198567417


Pages:   312
Publication Date:   26 January 2006
Format:   Paperback
Availability:   In Print   Availability explained
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Computational Text Analysis: For Functional Genomics and Bioinformatics


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Overview

This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis, and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions. Keeping up with the literature on a single gene is a challenge itself -- for thousands of genes it is simply impossible! Here, Soumya Raychaudhuri presents the techniques and algorithms needed to access and utilize the vast scientific text, i.e. methods that automatically ""read"" the literature on all the genes. Including background chapters on the necessary biology, statistics, and genomics, in addition to practical examples of interpreting many different types of modern experiments, this book is ideal for students and researchers in computational biology, bioinformatics, genomics, statistics and computer science.

Full Product Details

Author:   Soumya Raychaudhuri (, Stanford University)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Dimensions:   Width: 17.10cm , Height: 1.90cm , Length: 24.60cm
Weight:   0.578kg
ISBN:  

9780198567417


ISBN 10:   0198567413
Pages:   312
Publication Date:   26 January 2006
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. An Introduction to Text Analysis in Genomics; 2. Functional Genomics; 3. Textual Profile of Genes; 4. Using Text in Sequence Analysis; 5. Using Text in the Analysis of a Gene Expression Experiment; 6. Analyzing Groups of Genes; 7. Analyzing Large Gene Expression Data Sets; 8. Using Text Classification for Gene Function Annotation; 9. Finding Gene Names; 10. Protein Interaction Networks; 11. Conclusion

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