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| LEADER |
02645nam a22003135i 4500 |
| 001 |
978-0-387-23077-1 |
| 005 |
20191025212057.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2005 xxu| s |||| 0|eng d |
| 020 |
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|a 9780387230771
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| 024 |
7 |
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|a 10.1007/b100565
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Methods of Microarray Data Analysis IV
|c edited by Jennifer S. Shoemaker, Simon M. Lin.
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| 250 |
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|a 1st ed. 2005.
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| 260 |
# |
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|a New York, NY :
|b Springer US :
|b Imprint: Springer,
|c 2005.
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| 300 |
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|a XVI, 256 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 505 |
0 |
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|a Cancer: Clinical Challenges and Opportunities -- Gene Expression Data and Survival Analysis -- The Needed Replicates of Arrays in Microarray Experiments for Reliable Statistical Evaluation -- Pooling Information Across Different Studies and Oligonucleotide Chip Types to Identify Prognostic Genes for Lung Cancer -- Application of Survival and Meta-analysis to Gene Expression Data Combined from Two Studies -- Making Sense of Human Lung Carcinomas Gene Expression Data: Integration and Analysis of Two Affymetrix Platform Experiments -- Entropy and Survival-based Weights to Combine Affymetrix Array Types and Analyze Differential Expression and Survival -- Associating Microarray Data with a Survival Endpoint -- Differential Correlation Detects Complex Associations Between Gene Expression and Clinical Outcomes in Lung Adenocarcinomas -- Probabilistic Lung Cancer Models Conditioned on Gene Expression Microarray Data -- Integration of Microarray Data for a Comparative Study of Classifiers and Identification of Marker Genes -- Use of Micro Array Data via Model-based Classification in the Study and Prediction of Survival from Lung Cancer -- Microarray Data Analysis of Survival Times of Patients with Lung Adenocarcinomas Using ADC and K-Medians Clustering -- Higher Dimensional Approach for Classification of Lung Cancer Microarray Data -- Microarray Data Analysis Using Neural Network Classifiers and Gene Selection Methods -- A Combinatorial Approach to the Analysis of Differential Gene Expression Data -- Genes Associated with Prognosis in Adenocarcinoma Across Studies at Multiple Institutions.
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| 650 |
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0 |
|a Human genetics.
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| 650 |
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0 |
|a Cancer research.
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| 650 |
1 |
4 |
|a Human Genetics.
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| 650 |
2 |
4 |
|a Cancer Research.
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| 700 |
1 |
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|a Shoemaker, Jennifer S.
|e editor.
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| 700 |
1 |
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|a Lin, Simon M.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/b100565
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