000			03514cam a2200397Ia 4500
999			_c138166 _d138166
001			ocm53982525
003			OCoLC
005			20210202083936.0
006			m o d
007			cr cnu---unuuu
008			040106s2003 maua ob 001 0 eng d
010			_z 2002034174
020			_a0306478153 _q(electronic bk.)
020			_a9780306478154 _q(electronic bk.)
020			_z1402072600
020			_z9781402072604
020			_z9781441912268
020			_z1441912266
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041			_agre
082	0	4	_a572.8/633 _222
245	0	2	_aA practical approach to microarray data analysis / _cedited by Daniel P. Berrar, Werner Dubitzky, Martin Granzow.
260			_aBoston : _bKluwer Academic Publishers, _c2003.
300			_a1 ηλεκτρονική πηγή (xv, 368 σ.) : _bεικ.
504			_aΠεριλαμβάνει βιβλιογραφικές παραπομπές και ευρετήριο.
505	0		_aIntroduction to Microarray Data Analysis -- Data Pre-Processing Issues in Microarray Analysis -- Missing Value Estimation -- Normalization -- Singular Value Decomposition and Principal Component Analysis -- Feature Selection in Microarray Analysis -- Introductioon to Classification in Microarray Experiments -- Bayesian Network Classifiers for Gene Expression Analysis -- Classifying Microarray Data Using Support Vector Machines -- Weighted Flexible Compound Covariate Method for Classifying Microarray Data -- Classification of Expression Patterns Using Artificial Neural Networks -- Gene Selection and Sample Classification Using a Genetic Algorithm and K-Nearest Neighbor Method -- Clustering Genomic Expression Data -- Clustering or Automatic Class Discovery -- Discovering Genomic Expression Patterns with Self-Organizing Neural Networks -- Clustering or Automatic Class Discovery -- Correlation and Association Analysis -- Global Functional Profiling of Gene Expression Data -- Microarray Software Review -- Microarray Analysis as a Process.
520			_aThe book addresses the requirement of scientists and researchers to gain a basic understanding of microarray analysis methodologies and tools. It is intended for students, teachers, researchers, and research managers who want to understand the state of the art and of the presented methodologies and the areas in which gaps in our knowledge demand further research and development. The book is designed to be used by the practicing professional tasked with the design and analysis of microarray experiments or as a text for a senior undergraduate- or graduate level course in analytical genetics, biology, bioinformatics, computational biology, statistics and data mining, or applied computer science.
650	4	0	_aΜικροσυστοιχίες DNA _963660
655		0	_aΗλεκτρονικά βιβλία
700	1		_aBerrar, Daniel P., _d1972- _949427 _eσυγγραφέας.
700	1		_aDubitzky, Werner, _d1958- _949428 _eσυγγραφέας.
700	1		_aGranzow, Martin, _d1970- _949429 _eσυγγραφέας.
856	4	0	_uhttp://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=99264
942			_2ddc _cERS
998			_cΓκόγκου _d12-2020