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010   $a9786611121471
010   $a981-277-127-1
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100   $a20070216d2007      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$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   $aThis volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology. New res
410  0$aSeries on advances in mathematics for applied sciences ;$vv. 73.
606   $aNeurobiology$xMathematical models
606   $aNeurosciences$xMathematical models
608   $aElectronic books.
615  0$aNeurobiology$xMathematical models.
615  0$aNeurosciences$xMathematical models.
676   $a612.8
700   $aTirozzi$b Brunello$0552792
701   $aBianchi$b Daniela$f1975-$0863434
701   $aFerraro$b Enrico$f1969-$0863435
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910450682503321
996   $aIntroduction to computational neurobiology and clustering$91927287
997   $aUNINA