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Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics

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Springer Handbook of Bio-/Neuroinformatics

Part of the book series: Springer Handbooks ((SHB))

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Abstract

This chapter presents some background information, methods, and techniques of information science, bio- and neuroinformatics in their symbiosis. It explains the rationale, motivation, and structure of the Handbook that reflects on this symbiosis. For this chapter, some text and figures from [1.1] have been used. As the introductory chapter, it gives a brief overview of the topics covered in this Springer Handbook of Bio-/Neuroinformatics with emphasis on the symbiosis of the three areas of science concerned: information science (informatics) (IS), bioinformatics (BI), and neuroinformatics (NI). The topics presented and included in this Handbook provide a far from exhaustive coverage of these three areas, but they clearly show that we can better understand nature only if we utilize the methods of IS, BI, and NI, considering their integration and interaction.

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Abbreviations

3-D:

three-dimensional

ANN:

artificial neural network

BI:

bioinformatics

DNA:

deoxyribonucleic acid

EC:

evolutionary computation

EEG:

electroencephalography

GA:

genetic algorithm

HMM:

hidden Markov model

IF:

initiation factor

IS:

information science

LDA:

linear discriminant analysis

MEG:

magnetoencephalography

MLR:

multiple linear regression

NDEI:

nondimensional error index

NI:

neuroinformatics

PCA:

principle component analysis

RMSE:

root mean squared error

RNA:

ribonucleic acid

SNR:

signal-to-noise ratio

SVM:

support vector machine

fMRI:

functional magnetic resonance imaging

log:

logistic regression

mRNA:

messenger RNA

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Authors and Affiliations

  1. KEDRI – Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, 120 Mayoral Drive, Auckland, New Zealand

    Nikola Kasabov

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  1. Nikola Kasabov
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Correspondence to Nikola Kasabov .

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Editors and Affiliations

  1. KEDRI – Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, 120 Mayoral Drive, 1010, Auckland, New Zealand

    Nikola Kasabov

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Kasabov, N. (2014). Understanding Nature Through the Symbiosis of Information Science, Bioinformatics, and Neuroinformatics. In: Kasabov, N. (eds) Springer Handbook of Bio-/Neuroinformatics. Springer Handbooks. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30574-0_1

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  • DOI: https://doi.org/10.1007/978-3-642-30574-0_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30573-3

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