000			03533nam a22003495i 4500
001			235627
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007			cr nn 008mamaa
008			100301s2007 xxu| s |||| 0|eng d
020			_a9781597453905
024	7		_a10.1007/978-1-59745-390-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aMicroarray Data Analysis _bMethods and Applications _cedited by Michael J. Korenberg.
250			_a1st edition 2007
264		1	_aTotowa, NJ _bHumana Press _c2007
300			_a1 recurso en línea (XIII, 273 páginas) _b
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 _v377
505	0		_aMicroarray Data Analysis -- Genomic Signal Processing: From Matrix Algebra to Genetic Networks -- Online Analysis of Microarray Data Using Artificial Neural Networks -- Signal Processing and the Design of Microarray Time-Series Experiments -- Predictive Models of Gene Regulation -- Statistical Framework for Gene Expression Data Analysis -- Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer -- Comparing Microarray Studies -- A Pitfall in Series of Microarrays -- In-Depth Query of Large Genomes Using Tiling Arrays -- Analysis of Comparative Genomic Hybridization Data on cDNA Microarrays -- Integrated High-Resolution Genome-Wide Analysis of Gene Dosage and Gene Expression in Human Brain Tumors -- Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis -- Interpreting Microarray Results With Gene Ontology and MeSH -- Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis -- Predicting Survival in Follicular Lymphoma Using Tissue Microarrays.
520			_aIn this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Included in this innovative book includes are in-depth looks intopresentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing and design of microarray time series experiments, application of regression methods, gene expression sprofiles and prognostic markers for primary breast cancer, and factors affecting the cross-correlation of gene expression profiles. Also detailed are use of tiling arrays for large genomes analysis using tiling arrays, acomparative genomic hybridization data on cDNA microarrays, integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors, gene and MeSH ontology, and predicting survival prediction in follicular lymphoma using tissue microarrays. The protocols follow the successful Methods in Molecular Biology™ series format, offering step-by-step instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls.
700	1		_aKorenberg, Michael J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781627039093
776	0	8	_iPrinted edition: _z9781588295408
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-390-5 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2007
999			_c235627 _d235627