000			02810nam a22003615i 4500
001			321496
003			MX-SnUAN
005			20160429161504.0
007			cr nn 008mamaa
008			160111s2016 gw | s |||| 0|eng d
020			_a9783319212968 _9978-3-319-21296-8
035			_avtls000421869
039		9	_y201601111005 _zstaff
050		4	_aR856-857
245	1	0	_aUncertainty in biology : _ba computational modeling approach / _cedited by Liesbet Geris, David Gomez-Cabrero.
250			_a1st ed. 2016.
264		1	_aCham : _bSpringer International Publishing : _bSpringer, _c2016.
300			_aix, 478 páginas : _b142 ilustraciones, 45 ilustraciones en color.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aStudies in Mechanobiology, Tissue Engineering and Biomaterials, _x1868-2006 ; _v17
500			_aSpringer eBooks
505	0		_aAn Introduction to Uncertainty in the Development of Computational Models of Biological Processes -- Reverse Engineering under Uncertainty -- Probabilistic Computational Causal Discovery for Systems Biology -- Macroscopic Simulation of Individual-Based Stochastic Models for Biological Processes -- The Experimental Side of Parameter Estimation -- Statistical Data Analysis and Modeling -- Optimization in Biology: Parameter Estimation and the Associated Optimization Problem -- Interval Methods -- Model Extension and Model Selection -- Bayesian Model Selection Methods and their Application to Biological ODE Systems -- Sloppiness and the Geometry of Parameter Space -- Modeling and Model Simplification to Facilitate Biological Insights and Predictions -- Sensitivity Analysis by Design of Experiments -- Waves in Spatially-Disordered Neural Fields: a Case Study in Uncertainty Quantification -- X In-silico Models of Trabecular Bone: a Sensitivity Analysis Perspective -- Neuroswarm: a Methodology to Explore the Constraints that Function Imposes on Simulation Parameters in Large-Scale Networks of Biological Neurons -- Prediction Uncertainty Estimation Despite Unidentifiability: an Overview of Recent Developments -- Computational Modeling Under Uncertainty: Challenges and Opportunities.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aGeris, Liesbet, _eeditor. _9345397
700	1		_aGomez-Cabrero, David, _eeditor. _9366489
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9783319212951
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-319-21296-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c321496 _d321496