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007			cr n
008			151126s2015 gw | s |||| 0|eng d
020			_a0-521-61555-0
024	7		_a10.1007/978-3-319-23497-7 _2doi
035			_a(WaSeSS)ssj0001585292
040			_dWaSeSS _cASAB
050		4	_aQH323.5
050		4	_aQH324.2-324.25
072		7	_aPDE _2bicssc
072		7	_aMAT003000 _2bisacsh
082	0	4	_a570.15118 _223
210	1	0	_aMathematical Models in Biology
245	0	0	_aMathematical Models in Biology _ban introduction _cElizabeth S.Allman
246			_amathematical models in biology
250			_a\
260			_aUK _bCambridge University press _cc2004
300			_a370 p.
505	0		_aImage segmentation, processing and analysis in microscopy and life science -- Image analysis and classification for high-throughput screening of embryonic stem cells -- Exploiting “mental” images in artificial neural network computation -- Applying design of experiment methodology to PEI toxicity assay on neural progenitor cells -- A design of experiment approach to optimize an image analysis protocol for drug screening -- Computational modeling of miRNA biogenesis -- Tunicate neurogenesis: the case of the SoxB2 missing CNE -- MECP2: a multifunctional protein supporting brain complexity -- DNA barcode classification using general regression neural network with different distance models -- First application of a distance-based outlier approach to detect highly differentiated genomic regions across human populations -- Predicting the metagenomic content using multiple CART trees -- A statistical approach to infer 3D chromatin structure -- Basic exploratory proteins analysis with statistical methods applied on structural features -- Modeling of Protein Surface using Parallel Heterogeneous Architectures.
506			_aLicense restrictions may limit access.
520			_aThis book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy.  The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work. Specific topics explored in depth surround the sessions and special invited sessions of the workshop and include genetic variability via differential expression, molecular dynamics and modeling, complex biological systems viewed from quantitative models, and microscopy images processing, to name several. In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book. Researchers and graduate students in biology, life science, and mathematics/statistics will find the content useful as it addresses existing challenges in identifying the gaps between mathematical modeling and biological research. The shared solutions will aid and promote further collaboration between life sciences and mathematics.
650		0	_aMathematics. _92200
650		0	_aLife sciences. _92201
650		0	_aMatrix theory. _92202
650		0	_aAlgebra. _92203
650		0	_aMathematical analysis. _92204
650		0	_aAnalysis (Mathematics). _92205
650		0	_aBiomathematics. _92206
650	1	4	_aMathematics. _92207
650	2	4	_aMathematical and Computational Biology. _92208
650	2	4	_aLife Sciences, general. _92209
650	2	4	_aLinear and Multilinear Algebras, Matrix Theory. _92210
650	2	4	_aAnalysis. _92211
700	1		_aZazzu, Valeria. _eeditor. _92212
700	1		_aFerraro, Maria Brigida. _eeditor. _92213
700	1		_aGuarracino, Mario R. _eeditor. _92214
710	2		_aSpringerLink (Online service) _92215
773	0		_tSpringer eBooks
773		0	_tSpringerLINK ebooks - Mathematics and Statistics (2015)
776	0	8	_iPrinted edition: _z9783319234960
910			_aVendor-generated brief record
942			_2ddc _cBK
999			_c480283 _d480283