000			04889nam a22005295i 4500
001			978-0-387-26288-8
003			DE-He213
005			20250710083936.0
007			cr nn 008mamaa
008			100301s2006 xxu| s |||| 0|eng d
020			_a9780387262888 _a99780387262888
024	7		_a10.1007/b137323 _2doi
082	0	4	_a614.5999 _223
100	1		_aZhang, Wei. _eeditor.
245	1	0	_aComputational and Statistical Approaches to Genomics _h[recurso electrónico] / _cedited by Wei Zhang, Ilya Shmulevich.
250			_aSecond Edition.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aX, 416p. 5 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aMicroarray Image Analysis and Gene Expression Ratio Statistics -- Statistical Considerations in the Assessment of cDNA Microarray Data Obtained Using Amplification -- Sources of Variation in Microarray Experiments -- Studentizing Microarray Data -- Exploratory Clustering of Gene Expression Profiles of Mutated Yeast Strains -- Selecting Informative Genes for Cancer Classification Using Gene Expression Data -- Finding Functional Structures in Ggioma Gene-Expressions Using Gene Shaving Clustering and MDL Principle -- Design Issues and Comparison of Methods for Microarray-Based Classification -- Analyzing Protein Sequences Using Signal Analysis Techniques -- Scale-Dependent Statistics of the Numbers of Transcripts and Protein Sequences Encoded in the Genome -- Statistical Methods in Serial Analysis of Gene Expression (Sage) -- Normalized Maximum Likelihood Models for Boolean Regression with Application to Prediction and Classification in Genomics -- Inference of Genetic Regulatory Networks via Best-Fit Extensions -- Regularization and Noise Injection for Improving Genetic Network Models -- Parallel Computation and Visualization Tools for Codetermination Analysis of Multivariate Gene Expression Relations -- Single Nucleotide Polymorphisms and Their Applications -- The Contribution of Alternative Transcription and Alternative Splicing to the Complexity of Mammalian Transcriptomes -- Computational Imaging, and Statistical Analysis of Tissue Microarrays: Quantitative Automated Analysis of Tissue Microarrays.
520			_aComputational and Statistical Approaches to Genomics, 2nd Edition, aims to help researchers deal with current genomic challenges. During the three years after the publication of the first edition of this book, the computational and statistical research in genomics have become increasingly more important and indispensable for understanding cellular behavior under a variety of environmental conditions and for tackling challenging clinical problems. In the first edition, the organizational structure was: data à analysis à synthesis à application. In the second edition, the same structure remains, but the chapters that primarily focused on applications have been deleted. This decision was motivated by several factors. Firstly, the main focus of this book is computational and statistical approaches in genomics research. Thus, the main emphasis is on methods rather than on applications. Secondly, many of the chapters already include numerous examples of applications of the discussed methods to current problems in biology. The range of topics have been broadened to include newly contributed chapters on topics such as alternative splicing, tissue microarray image and data analysis, single nucleotide polymorphisms, serial analysis of gene expression, and gene shaving. Additionally, a number of chapters have been updated or revised. This book is for any researcher, in academia and industry, in biology, computer science, statistics, or engineering involved in genomic problems. It can also be used as an advanced level textbook in a course focusing on genomic signals, information processing, or genome biology.
650		0	_aMEDICINE.
650		0	_aONCOLOGY.
650		0	_aBIOTECHNOLOGY.
650		0	_aCOMPUTER SCIENCE.
650		0	_aCOMPUTER VISION.
650		0	_aOPTICAL PATTERN RECOGNITION.
650		0	_aBIOLOGY _xDATA PROCESSING.
650	1	4	_aBIOMEDICINE.
650	2	4	_aCANCER RESEARCH.
650	2	4	_aBIOTECHNOLOGY.
650	2	4	_aCOMPUTER SCIENCE, GENERAL.
650	2	4	_aIMAGE PROCESSING AND COMPUTER VISION.
650	2	4	_aPATTERN RECOGNITION.
650	2	4	_aCOMPUTER APPL. IN LIFE SCIENCES.
700	1		_aShmulevich, Ilya. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387262871
856	4	0	_uhttp://dx.doi.org/10.1007/b137323 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c56555 _d56555