This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007.

Cancer is a complex disease process that spans multiple scales in space and time.

This collection of selected chapters offers a comprehensive overview of state-of-the-art mathematical methods and tools for modeling and analyzing cancer phenomena.

This edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment.

... An Agent-Based Model of Solid Tumor Progression Didier Dréau1, Dimitre Stanimirov2, Ted Carmichael2, and Mirsad Hadzikadic2 2 1 Department of Biology, University of North ... An Agent-Based Model of Solid Tumor Progression Introduction.

Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields.

A major challenge in matrix-metalloproteinase (MMP) target validation and MMP-inhibitor-drug development for anti-cancer clinical trials is to better understand their complex roles (often competing with each other) in tumor progression.

The contents of this book were previously published in Scientific Modeling and Simulations, Vol 15, No. 1-3, 2008.

This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

This book gathers outstanding papers presented at the European Conference on Numerical Mathematics and Advanced Applications (ENUMATH 2019).