Angielski
This text offers introductory knowledge of a wide range of clustering and other quantitative techniques used to solve biological problems. It provides a detailed overview of the practical aspects of real-life biological problems, thus helping researchers identify current and future challenges or trends arising in the research areas concerning clustering problems in biological networks. With contributions from experts in diverse disciplines, readers will learn more about biology from massive data networks through quantitative methods such as clustering and classification. Aimed at senior-level students, investigators, and practitioners from the science, engineering, and medical domains, this book will help them share important concepts, ideas, and scientific methodology in order to boost the knowledge of this relatively new and exciting topic.
