Springer Handbook of Bio-/Neuro-Informatics

Springer Handbook of Bio-/Neuro-Informatics
Author :
Publisher : Springer Science & Business Media
Total Pages : 1239
Release :
ISBN-10 : 9783642305740
ISBN-13 : 3642305741
Rating : 4/5 (741 Downloads)

Book Synopsis Springer Handbook of Bio-/Neuro-Informatics by : Nikola Kasabov

Download or read book Springer Handbook of Bio-/Neuro-Informatics written by Nikola Kasabov and published by Springer Science & Business Media. This book was released on 2013-11-30 with total page 1239 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two major science disciplines in their interaction and mutual relationship, namely: information sciences, bioinformatics and neuroinformatics. Bioinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. Neuroinformatics is the area of science which is concerned with the information processes in biology and the development and applications of methods, tools and systems for storing and processing of biological information thus facilitating new knowledge discovery. The text contains 62 chapters organized in 12 parts, 6 of them covering topics from information science and bioinformatics, and 6 cover topics from information science and neuroinformatics. Each chapter consists of three main sections: introduction to the subject area, presentation of methods and advanced and future developments. The Springer Handbook of Bio-/Neuroinformatics can be used as both a textbook and as a reference for postgraduate study and advanced research in these areas. The target audience includes students, scientists, and practitioners from the areas of information, biological and neurosciences. With Forewords by Shun-ichi Amari of the Brain Science Institute, RIKEN, Saitama and Karlheinz Meier of the University of Heidelberg, Kirchhoff-Institute of Physics and Co-Director of the Human Brain Project.


Springer Handbook of Bio-/Neuro-Informatics Related Books

Springer Handbook of Bio-/Neuro-Informatics
Language: en
Pages: 1239
Authors: Nikola Kasabov
Categories: Technology & Engineering
Type: BOOK - Published: 2013-11-30 - Publisher: Springer Science & Business Media

GET EBOOK

The Springer Handbook of Bio-/Neuro-Informatics is the first published book in one volume that explains together the basics and the state-of-the-art of two majo
Analyzing Network Data in Biology and Medicine
Language: en
Pages: 647
Authors: Nataša Pržulj
Categories: Science
Type: BOOK - Published: 2019-03-28 - Publisher: Cambridge University Press

GET EBOOK

The increased and widespread availability of large network data resources in recent years has resulted in a growing need for effective methods for their analysi
Springer Handbook of Medical Technology
Language: en
Pages: 1503
Authors: Rüdiger Kramme
Categories: Technology & Engineering
Type: BOOK - Published: 2011-10-02 - Publisher: Springer Science & Business Media

GET EBOOK

This concise, user-oriented and up-to-date desk reference offers a broad introduction to the fascinating world of medical technology, fully considering today’
Handbook On Computational Intelligence (In 2 Volumes)
Language: en
Pages: 964
Authors: Plamen Parvanov Angelov
Categories: Computers
Type: BOOK - Published: 2016-03-18 - Publisher: World Scientific

GET EBOOK

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational i
Handbook of Research on Machine Learning Innovations and Trends
Language: en
Pages: 1269
Authors: Hassanien, Aboul Ella
Categories: Computers
Type: BOOK - Published: 2017-04-03 - Publisher: IGI Global

GET EBOOK

Continuous improvements in technological applications have allowed more opportunities to develop automated systems. This not only leads to higher success in sma