This book explains the state-of-the-art algorithms used to simulate biological dynamics. Each

state-of-the-art scholarly treatment of the academic topics concerned, making it an excellent reference work for

Background -- Motivation and State of the Art -- The JSON-based Data Model -- Results: the

analysis can offer to both the experimentalist and the modeler, the text opens with an introduction to a

straightforward way, it explains how image processing methods are used to improve the quality of medical images

research area inside the inductive inference paradigm for machine learning. The first three chapters of the

, problems appearing in human activity. The contents of the book is divided into two parts. Part I

Mathematical Applications in the Physical Sciences.

classification and molecular signature identification -- Understanding cancer at the genomic level -- Elucidation

identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing

modeling cancer outcomes. The authors investigate the difference between cancer stem cells and normal stem

describes the state of the art in computational gene finding methods, with a particular focus on comparative