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007			cr nn 008mamaa
008			160222s2016 xxua o |||| 0|eng d
020			_a9781493931736
024	7		_a10.1007/978-1-4939-3173-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP624.5 .D726 _b2016 EB
245	0	0	_aMicroarray Data Analysis : _bMethods and Applications _cedited by Pietro Hiram Guzzi
250			_a2nd edition 2016
264		1	_aNew York, NY _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XI, 226 páginas) _b20 ilustraciones, 5 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 Molecular Biology _x1940-6029 _v1375
505	0		_aNormalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples -- Methods and Techniques for miRNA Data Analysis -- Bioinformatics And Microarray Data Analysis On The Cloud -- Classification and Clustering on Microarray Data for Gene Functional Prediction using R -- Querying co-regulated genes on diverse gene expression datasets via biclustering -- MetaMirClust: Discovery and Exploration Of Evolutionarily Conserved miRNA Clusters -- Analysis of Gene Expression Patterns using Biclustering -- Using semantic Similarities and csbl.go for Analyzing Microarray Data -- Ontology Based Analysis of Microarray Data -- Integrated Analysis of Transcriptomic and Proteomic Datasets Reveals Information on Protein Expressivity and Factors Affecting Translational Efficiency -- Integrating Microarray Data and GRNs -- Biological Network Inference from Microarray Data, Current Solutions and Assessments -- A Protocol to Collect Specific Mouse Skeletal Muscles for Metabolomics Studies -- Functional Analysis of microRNA in Multiple Myeloma -- Microarray Analysis in Glioblastomas -- Analysis of microRNA Microarrays in Cardiogenesis.
520			_aThis volume covers a large area, from the description of methodologies for data analysis to the real application. Chapters focus on methodologies for preprocessing of microarray data, a survey of miRNA Data analysis, Cloud-based approaches, application of data mining techniques for data analysis, biclustering to query different datasets, web-based tool to analyze the evolution of miRNA clusters,  application of biclustering to mine patterns of co-regulated genes ontologies, microarray  and proteomic Data, Gene Regulatory Network Inference, Gene Regulatory Network methods, analysis of Mouse data for metabolomics studies, analysis of microRNA data in Multiple Myeloma, microarray data analysis in Gliobastomas, and microRNA data in Cardiogenesis.Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.   Authoritative and practical, Microarray Data Analysis: Methods and Applications, Second Edition aims to ensure successful results in the further study of this vital field.
988			_aSpringer_Protocols_2016
650		7	_2embne _9670812 _aMicromatrices de ADN _vManuales de laboratorio
776	0	8	_iPrinted edition: _z9781493931729
776	0	8	_iPrinted edition: _z9781493931743
776	0	8	_iPrinted edition: _z9781493979936
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-3173-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2023 _dz _eb _zSI