This book introduces genetic algorithms (GAs) from a practical standpoint, emphasizing real-world applications in engineering and computer science. It includes numerous examples and case studies to illustrate how GAs can be implemented for solving optimization problems. The second edition expands on fundamental concepts and offers enhanced algorithm strategies, including coding, selection, cros…
This second edition offers a comprehensive examination of statistical methods applicable to bioassay, with emphasis on dose-response relationships, parallel line assays, and probit/logit analysis. It is an essential reference for pharmacologists, statisticians, and researchers involved in experimental biology.
This introductory textbook provides an accessible overview of genome science and bioinformatics for undergraduate and graduate students. It covers the structure, function, and evolution of genomes, as well as the tools used to analyze genomic data, such as microarrays and sequencing technologies.
A textbook that introduces foundational physics concepts through biomedical contexts. Designed for students in life sciences and allied health fields. Covers mechanics, fluids, thermodynamics, waves, electricity, and magnetism, with applied problems and case studies in human physiology and medicine.