Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques - Couverture rigide

 
9789812704610: Quantitative Medical Data Analysis Using Mathematical Tools and Statistical Techniques
Couverture rigide
ISBN 10 : 9812704612 ISBN 13 : 9789812704610
Editeur : World Scientific Publishing Co Pte Ltd, 2007

Synopsis

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications, such as wavelets, spline functions, curve and surface subdivisions, sampling, and learning theory, have found their mathematical home in biomedical data analysis.This book gives a new and integrated introduction to quantitative medical data analysis from the viewpoint of biomathematicians, biostatisticians, and bioinformaticians. It offers a definitive resource to bridge the disciplines of mathematics, statistics, and biomedical sciences. The topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic and proteomic data analysis, wavelet and spline applications for mass spectrometry data preprocessing and statistical computing.

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Présentation de l'éditeur

Quantitative biomedical data analysis is a fast-growing interdisciplinary area of applied and computational mathematics, statistics, computer science, and biomedical science, leading to new fields such as bioinformatics, biomathematics, and biostatistics. In addition to traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications, such as wavelets, spline functions, curve and surface subdivisions, sampling, and learning theory, have found their mathematical home in biomedical data analysis.This book gives a new and integrated introduction to quantitative medical data analysis from the viewpoint of biomathematicians, biostatisticians, and bioinformaticians. It offers a definitive resource to bridge the disciplines of mathematics, statistics, and biomedical sciences. The topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection in data analysis, survival data analysis and survival models for cancer patients, statistical analysis and neural network techniques for genomic and proteomic data analysis, wavelet and spline applications for mass spectrometry data preprocessing and statistical computing.

Revue de presse

... many of the chapters could be of interest for mathematicians searching for inspiration or motivation for an axiomatic general working formulation. The topics chosen are nontrivial and provide working examples where one can learn directly from experience. So, this book could be very helpful for PhD students and researchers who are beginning in the field, but experts could also find it useful (and be amused) to read concrete explicit realizations of many topics usually treated only at an abstract level. --Mathematical Reviews

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
World Scientific Publishing Co Pte Ltd
Date d'édition
2007
Langue
anglais
ISBN 10 
9812704612
ISBN 13 
9789812704610
Reliure
Relié
Numéro d'édition
1
Nombre de pages
364
Éditeur
Hong Don, Shyr Yu
Coordonnées du fabricant
non disponible
Personne responsable
non disponible