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. 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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... 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
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microarray data analysis, recurrent event data, tidal volume instability, array comparability, several supplemental samples, weighted rank approach, probe rank approach, ttot changes, nth breath, gene function classification, integrated bioinformatics tool, stochastic system model, peak detection procedure, invariant band, projecting spectrum, gene alias, peak lineshape, avascular tumor growth, nonparametric regression techniques, log partial likelihood, conditional hazard function, incubation distribution, multifractal spectrum, covariance selection, baseline hazard function Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Survival Analysis, Affymetrix Gene Chip, Non-Proportional Rates Model, Growth of Solid Tumors, Eigenslope Method, Journal of the American Statistical Association, Proteomic Data Processing, Investigation of Tidal Volume Instability, Outcome-Dependent Sampling Scheme, Academic Press, The Annals of Statistics, Statistica Sinica, Multifractal Discrimination Model, John Wiley, Information Theory, World Scientific, Journal of the Royal Statistical Society, Monte Carlo, Nature Rev, The Molecular Basis of Human Cancer, Marcel Dekker, Cancer Res, San Francisco, Pacific Grove Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
microarray data analysis, recurrent event data, tidal volume instability, array comparability, several supplemental samples, weighted rank approach, probe rank approach, ttot changes, nth breath, gene function classification, integrated bioinformatics tool, stochastic system model, peak detection procedure, invariant band, projecting spectrum, gene alias, peak lineshape, avascular tumor growth, nonparametric regression techniques, log partial likelihood, conditional hazard function, incubation distribution, multifractal spectrum, covariance selection, baseline hazard function Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Survival Analysis, Affymetrix Gene Chip, Non-Proportional Rates Model, Growth of Solid Tumors, Eigenslope Method, Journal of the American Statistical Association, Proteomic Data Processing, Investigation of Tidal Volume Instability, Outcome-Dependent Sampling Scheme, Academic Press, The Annals of Statistics, Statistica Sinica, Multifractal Discrimination Model, John Wiley, Information Theory, World Scientific, Journal of the Royal Statistical Society, Monte Carlo, Nature Rev, The Molecular Basis of Human Cancer, Marcel Dekker, Cancer Res, San Francisco, Pacific Grove Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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