Springer Series in Bio-/Neuroinformatics publishes content on fundamental principles as well as state-of-art theories, methods and applications in the rapidly evolving fields of bioinformatics and neuroinformatics. The series is unique in that it integrates three interdependent disciplines, namely information science, bioinformatics and neuroinformatics. The series covers general informatics methods and techniques, like data mining, database management systems, machine learning, artificial neural networks, evolutionary computation, chaos theory, quantum computation, statistical methods, and image and signal processing, as well as their applications to different areas of research, including big data, functional analysis of the brain, computational systems biology, computational systems neuroscience, health informatics, personalized medicine, rehabilitation medicine, industrial biotechnology, and many more. The series publishes monographs, contributed volumes and conference proceedings, as well as advanced textbooks.
6 Volumes from 2013 – 2017Browse All Volumes