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[null,"1.","Record Nr.",null,"UNINA9910784041503321"]
[null,null,"Autore",null,"Tirozzi Brunello"]
[null,null,"Titolo",null,"Introduction to computational neurobiology and clustering [[electronic resource] /] / Brunello Tirozzi, Daniela Bianchi, Enrico Ferraro"]
[null,null,"Pubbl/distr/stampa",null,"Hackensack, NJ, : World Scientific, c2007"]
[null,null,"ISBN",null,"1-281-12147-9"]
[{"$nulls":4},"9786611121471"]
[{"$nulls":4},"981-277-127-1"]
[null,null,"Descrizione fisica",null,"1 online resource (242 p.)"]
[null,null,"Collana",null,"Series on advances in mathematics for applied sciences ; ; v. 73"]
[null,null,"Disciplina",null,"612.8"]
[null,null,"Soggetti",null,"Neurobiology - Mathematical models"]
[{"$nulls":4},"Neurosciences - Mathematical models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 219-223) and indexes."]
[null,null,"Nota di contenuto",null,"Preface; Contents; Neurobiological models; Clustering; Appendices; Bibliography; Subject Index; Author Index"]
[null,null,null,"Sommario/riassunto","This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology. New res"]