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Synopsis
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.
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Présentation de l'éditeur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Computational Text Analysis: For Functional Genomics and Bioinformatics
Edité par
Oxford University Press, 2006
ISBN 10 : 0198567413
ISBN 13 : 9780198567417
Ancien ou d'occasion
Paperback
Edition originale
Vendeur : Prior Books Ltd, Cheltenham, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Like New. First Edition. A nearly new copy, square and tight with no creases or splits, just ever so lightly shelf-rubbed. Contents fresh and clean, not showing any pen-marks. Looks and feels unread. Thus a tidy book in very presentable condition. N° de réf. du vendeur 123816
Quantité disponible : 1 disponible(s)
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Computational Text Analysis: For Functional Genomics and Bioinformatics
Edité par
Oxford University Press, 2006
ISBN 10 : 0198567413
ISBN 13 : 9780198567417
Ancien ou d'occasion
Couverture souple
Vendeur : Goodwill of Silicon Valley, SAN JOSE, CA, Etats-Unis
Évaluation du vendeur 4 sur 5 étoiles
Etat : good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. N° de réf. du vendeur GWSVV.0198567413.G
Quantité disponible : 1 disponible(s)