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008			150910s2015 xxu| s |||| 0|eng d
020			_a9781493927784
024	7		_a10.1007/978-1-4939-2778-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aComputational Systems Toxicology _cedited by Julia Hoeng, Manuel C. Peitsch.
250			_a1st edition 2015
264		1	_aNew York, NY _bSpringer International Publishing _c2015
300			_a1 recurso en línea (X, 430 páginas) _b109 ilustraciones, 96 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Pharmacology and Toxicology _x1940-6053
505	0		_aThe Adverse Outcome Pathway: A Conceptual Framework to Support Toxicity Testing in the 21st Century -- Metabolic Pathway Databases: A Word of Caution -- Causal Biological Network Database: A Comprehensive Platform of Causal Biological Network Models Focused on the Pulmonary and Vascular Systems -- Data Sources for Signature Discovery in Toxicology -- Data Management and Processing in Toxicoinformatics: From Chemical Databases to Automatic Extraction of Unstructured Resources -- Using a Crowdsourcing Approach for Network Verification -- Toxicological Assessment Via Gene Network Analysis -- Weaving Knowledge into Biological Pathways in a Collaborative Manner -- Pathway Analysis and Machine Learning as Tools in Systems Toxicology -- Quantifying the Biological Impact of Active Substances Using Causal Network Models -- Analysis of Proteomic Data for Toxicological Applications -- Xenobiotic Metabolism Activation as a Biomarker of Cigarette Smoke Exposure Response -- High-Content Screening: Understanding and Managing Mechanistic Data to Better Predict Toxicity -- A Systems Toxicology Approach to Investigating the Cardiovascular Effects of Cigarette Smoke and Environmental Pollutants in ApoE-Deficient Mice -- Computational Data Integration in Toxicogenomics -- Aerosol Dosimetry Modeling Using Computational Fluid Dynamics.
520			_aThis detailed volume explores key state-of-the-art computational applications that are crucial in Systems Toxicology.  The recent technological developments in experimental biology and multi-omics measurements that enable Systems Biology and Systems Toxicology can only be fully leveraged by the application of a broad range of computational approaches ranging from data management to mathematical modeling. Taking this into account, chapters in this book cover data management and processing, data analysis, biological network building and analysis, as well as the application of computational methods to toxicological assessment. Written for the Methods in Pharmacology and Toxicology series, Computational Systems Toxicology includes the kind of key practical advice that will aid readers in furthering our knowledge of toxic substances and reactions to them.
700	1		_aHoeng, Julia _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPeitsch, Manuel C _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493927777
776	0	8	_iPrinted edition: _z9781493927791
776	0	8	_iPrinted edition: _z9781493950034
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-2778-4 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2015
999			_c234384 _d234384