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02290nam a22003375i 4500 |
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978-0-306-47598-6 |
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20191024181821.0 |
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cr nn 008mamaa |
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100301s2002 xxu| s |||| 0|eng d |
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|a 9780306475986
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024 |
7 |
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|a 10.1007/b112982
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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|a Methods of Microarray Data Analysis II
|b Papers from CAMDA '01 /
|c edited by Simon M. Lin, Kimberly F. Johnson.
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|a 1st ed. 2002.
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|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2002.
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|a XII, 214 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a An Introduction to DNA Microarrays -- Experimental Design for Gene Microarray Experiments and Differential Expression Analysis -- Microarray Data Processing and Analysis -- Biology-driven Clustering of Microarray Data -- Extracting Global Structure from Gene Expression Profiles -- Supervised Neural Networks for Clustering Conditions in DNA Array Data After Reducing Noise by Clustering Gene Expression Profiles -- Bayesian Decomposition Analysis of Gene Expression in Yeast Deletion Mutants -- Using Functional Genomic Units to Corroborate User Experiments with the Rosetta Compendium -- Fishing Expedition - a Supervised Approach to Extract Patterns from a Compendium of Expression Profiles -- Modeling Pharmacogenomics of the NCI-60 Anticancer Data Set: Utilizing Kernel Pls to Correlate the Microarray Data to Therapeutic Responses -- Analysis of Gene Expression Profiles and Drug Activity Patterns by Clustering and Bayesian Network Learning -- Evaluation of Current Methods of Testing Differential Gene expression and Beyond -- Extracting Knowledge from Genomic Experiments by Incorporating the Biomedical Literature.
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650 |
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|a Biochemistry.
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650 |
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|a Human genetics.
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650 |
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|a Statistics .
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650 |
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4 |
|a Biochemistry, general.
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650 |
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4 |
|a Human Genetics.
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650 |
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|a Statistics for Life Sciences, Medicine, Health Sciences.
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700 |
1 |
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|a Lin, Simon M.
|e editor.
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700 |
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|a Johnson, Kimberly F.
|e editor.
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710 |
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|a SpringerLink (Online service)
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|t Springer eBooks
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856 |
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|u https://doi.org/10.1007/b112982
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