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"A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more theoretical point of view, it then presents various methods for addressing the complex identification problem. Appendices cover the necessary background material."--Provided by publisher.

Cohort analysis. --- Age groups --- Statistical methods.

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Biological and biomedical studies have entered a new era due to the widespread use of mathematical models and computational approaches. What was no more than a theoretician's fantasy 20 years ago has become the blooming field of computational biology. Furthermore, this powerful and stimulating research paradigm in biological studies has in turn led to new developments in mathematics, physics and computer science. This unique volume surveys state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts in the field. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments. Understanding the biology at a molecular and system level stands among the most exciting challenges faced by modern science. This text clearly demonstrates how computational and mathematical approaches continue to address this challenge. Topics and features: Presents the use of thermodynamic models to analyze gene regulatory mechanisms Reviews major algorithms for RNA secondary structure prediction, with a focus on ensemble-based approaches Discusses how developments in the area of oligo arrays has led to a better understanding of the array mechanism and improvements in microarray data analysis Examines the application of models of stochastic processes in nonequilibrium thermodynamics and biological signal transduction Describes phylogenetic footprinting methods for TFBS identification, based on alignments Introduces penalized regression-based methods for constructing genetic interaction or regulatory networks Investigates the specific role played by irreversible Markov processes in modeling cellular biochemical systems Explores the concept of gene modules in a transcriptional regulatory network With reviews of current hot topics in computational biology and systems biology, supplied by an international selection of top researchers, this is an essential text for researchers and graduate students in computational biology, biology and mathematics.

Computational biology. --- Computational biology --- Biology --- Health & Biological Sciences --- Biology - General --- Systems biology. --- Life sciences. --- Computers. --- Bioinformatics. --- Computer software. --- Statistics. --- Life Sciences. --- Life Sciences, general. --- Theory of Computation. --- Mathematical Software. --- Computational Biology/Bioinformatics. --- Systems Biology. --- Statistics and Computing/Statistics Programs. --- Bioinformatics --- Biological systems --- Molecular biology --- Information theory. --- Biological models. --- Mathematical statistics. --- Communication theory --- Communication --- Cybernetics --- Biosciences --- Sciences, Life --- Science --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Models, Biological --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Software, Computer --- Computer systems --- Statistical methods --- Data processing --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Machine theory --- Calculators --- Cyberspace

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Biological and biomedical studies have entered a new era due to the widespread use of mathematical models and computational approaches. What was no more than a theoretician's fantasy 20 years ago has become the blooming field of computational biology. Furthermore, this powerful and stimulating research paradigm in biological studies has in turn led to new developments in mathematics, physics and computer science. This unique volume surveys state-of-the-art research on statistical methods in molecular and systems biology, with contributions from leading experts in the field. Each chapter discusses theoretical aspects, applications to biological problems, and possible future developments. Understanding the biology at a molecular and system level stands among the most exciting challenges faced by modern science. This text clearly demonstrates how computational and mathematical approaches continue to address this challenge. Topics and features: Presents the use of thermodynamic models to analyze gene regulatory mechanisms Reviews major algorithms for RNA secondary structure prediction, with a focus on ensemble-based approaches Discusses how developments in the area of oligo arrays has led to a better understanding of the array mechanism and improvements in microarray data analysis Examines the application of models of stochastic processes in nonequilibrium thermodynamics and biological signal transduction Describes phylogenetic footprinting methods for TFBS identification, based on alignments Introduces penalized regression-based methods for constructing genetic interaction or regulatory networks Investigates the specific role played by irreversible Markov processes in modeling cellular biochemical systems Explores the concept of gene modules in a transcriptional regulatory network With reviews of current hot topics in computational biology and systems biology, supplied by an international selection of top researchers, this is an essential text for researchers and graduate students in computational biology, biology and mathematics.

Statistical science --- Mathematical control systems --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Biology --- Biotechnology --- Computer science --- Programming --- Computer architecture. Operating systems --- Computer. Automation --- toegepaste informatica --- bio-informatica --- bedrijfssoftware --- biologie --- computers --- informatica --- statistiek --- wiskunde --- moleculaire biologie