£149.97

Springer Computational Biology: Issues and Applications in Oncology

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Description

Expand your understanding of cancer research with Computational Biology: Issues and Applications in Oncology. Published by Springer, this volume provides a detailed look at how computational biology techniques are used in the field of oncology. It serves as a comprehensive resource for those studying the intersection of bioinformatics, biostatistics, and medical information science. The text covers a wide range of technical methodologies, including advanced statistical methods, heuristic algorithms, and cluster analysis. Readers will find in-depth information on data modeling along with image and pattern analysis specifically applied to cancer research. This book is designed to support the knowledge requirements of scientists, engineers, and postgraduate students working within computational biology and bioinformatics. By exploring recent techniques and results in computational oncology, this work offers a foundational report on the current state of the field.

Key Features

Detailed coverage of advanced statistical methods and heuristic algorithms used in cancer research.

Explores data modeling and cluster analysis techniques applied to oncology studies.

Provides information on image and pattern analysis for biological data.

A comprehensive report on recent techniques and results in the field of computational oncology.

Designed for scientists, engineers, and postgraduate students in bioinformatics and medical informatics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
25 February 2012
Listed Since
16 December 2011

Barcode

No barcode data available

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