Bioinformatics of the Brain
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The new approach of brain analysis which may be termed Bioinformatics of the Brain is the main subject of this volume aiming to provide a thorough review on various bioinformatics approaches for analyzing the functioning of the brain and understanding brain diseases.

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Produktbeschreibung
The new approach of brain analysis which may be termed Bioinformatics of the Brain is the main subject of this volume aiming to provide a thorough review on various bioinformatics approaches for analyzing the functioning of the brain and understanding brain diseases.
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Autorenporträt
Kayhan Erciyes holds a B.Sc. (Hons.) in Electrical Engineering and Electronics from the University of Manchester Institute of Science and Technology, England, an M.Sc. degree in Electronic Control Engineering from the University of Salford, England and a Ph.D. degree in Computer Engineering from Ege University, Turkiye with part of the Ph.D. study realized at Edinburgh University, Scotland. He has worked as a professor in a number of institutions including Ege University, Yasar University, Uskudar University, Izmir Institute of Technology , UC Davis, Oregon State University, and California State University San Marcos. He is currently working at Computer Engineering Dept. Yäar University, ¿zmir, and has published several books including Distributed and Sequential Algorithms for Bioinformatics by Springer Computational Biology Series. His research interests are broadly in graph theory and its applications in bioinformatics and brain networks, and parallel and distributed algorithms. Tuba Sevimoglu holds a B.Sc. in Chemical Engineering from Yildiz Technical University, Turkiye, an M.Sc. degree in Industrial Engineering from Florida International University, USA, and a Ph.D. degree in Bioengineering from Marmara University, Turkiye. She is currently a professor of Bioengineering at University of Health Sciences in Istanbul, Turkiye. Her research interests include bioinformatics approaches to analyzing big data, gene expression, biological networks and the bioinformatics of genetic, neurodegenerative, and autoimmune diseases.