Quantitative Biology: Mathematical Modeling and Computation (Paperback) (ISBN-13: 9780443274527)

Quantitative Biology provides quantitative and data-driven approaches for analyzing biological and bio-inspired systems, covering the foundations of mathematical modeling, analysis, and computation. The book presents a practical mix of both theory and computation for a variety of biological applications, with tied-in, engaging project activities, instruction, programming language, and technological tools. Modeling approaches combine mathematical foundations, statistical reasoning, and computational thinking, with applications in compartmental, agent-based, bio image, biological interaction, and neural network modeling, as well as machine learning, parameter identification, and applications across societal challenges.

Each chapter includes exposure to models and modeling, a foundational instructional framework, benchmark applications, and numerical simulations with a literate programming guided style that helps readers go beyond replication models and into prediction and data-driven discovery. A companion website also features interactive code to accompany projects across each chapter.

Author: Alonso Ogueda-Oliva,Padmanabhan Seshaiyer
ISBN-10: 0443274525
ISBN-13: 9780443274527
Publisher: Academic Press
Language: English
Published: 01/29/2026
Pages: 378
Format: Paperback
Weight: 1.80lbs
Size: 9.22h x 7.49w x 0.80d