Mathematical Biology

Biostatistics Decoded covered a large number of statistical methods that are mainly applied to clinical and epidemiological research, as well as a comprehensive discussion of study designs for observational research and clinical trials, two important concerns for the clinical researcher.

Computational biology has developed rapidly during the last two decades following the genomic revolution which culminated in the sequencing of the human genome. More than ever it has developed into a field which embraces computational methods from different branches of the exact sciences: pure and applied mathematics, computer science, theoretical physics.

Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors.

Metabolomics is the scientific study of the chemical processes in a living system, environment and nutrition. It is a relatively new topics in science, but the potential applications are wide, including medicine, personalized medicine and intervention studies, food and nutrition, plants, agriculture and environmental science.

This book is designed to elp biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language.

Measurement -- Types of studies -- Frequency distributions -- Summary statistics -- Probability concepts -- Binomial probability distributions -- Normal probability distributions -- Introduction to statistical inference -- Basics of hypothesis testing -- Basics of confidence intervals -- Inference about a mean -- Comparing independent means -- Comparing several means (one-way analysis of variance) -- Correlation and regression -- Multiple linear regression -- Inference about a proportion -- Comparing two proportions -- Cross-tabulated counts -- Stratified 2-by-2 tables.

Basic epidemiologic concepts and principles -- Epidemiologic data measurements -- Epidemiologic surveillance and epidemic outbreak investigation -- The study of risk factors and causation -- Common research designs and issues in epidemiology -- Assessment of risk and benefit in epidemiologic studies -- Understanding the quality of data in clinical medicine -- Statistical foundations of clinical decisions

This book is designed to elp biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language.