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200 10$aIntroduction to computational neurobiology and clustering$b[electronic resource] /$fBrunello Tirozzi, Daniela Bianchi, Enrico Ferraro
210   $aHackensack, NJ $cWorld Scientific$dc2007
215   $a1 online resource (242 p.)
225 1 $aSeries on advances in mathematics for applied sciences ;$vv. 73
300   $aDescription based upon print version of record.
311   $a981-270-539-2 
320   $aIncludes bibliographical references (p. 219-223) and indexes.
327   $aPreface; Contents; Neurobiological models; Clustering; Appendices; Bibliography; Subject Index; Author Index
330   $aThis 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
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606   $aNeurosciences$xMathematical models
615  0$aNeurobiology$xMathematical models.
615  0$aNeurosciences$xMathematical models.
676   $a612.8
700   $aTirozzi$b Brunello$0552792
701   $aBianchi$b Daniela$f1975-$01576901
701   $aFerraro$b Enrico$f1969-$01576902
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