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DNA microarray
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#	Item
101	Metabolic reconstruction of mouse transcriptome using the RIKEN set of 18,816 mouse cDNA arrays Hidemasa Bono Hideo Matsuda Add to Reading List Source URL: icsb-2001.org Language: English - Date: 2001-12-04 14:14:38 Bioinformatics DNA Biological databases Science RIKEN FANTOM Transcriptome DNA microarray Complementary DNA Biology Gene expression Genetics
102	Get into Genes: Teacher Copy Paper Microarrays An interactive way to visualize how microarrays are used to study gene expression in Australian agriculture Add to Reading List Source URL: www.getintogenes.com Language: English - Date: 2014-04-16 00:17:47 Gene expression Microarrays DNA Bioinformatics DNA microarray RNA-Seq Complementary DNA Library Gene Biology Molecular biology Biochemistry
103	Smoothing Blemished Gene Expression Microarray Data Via Missing Value Imputation Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Gene expression Statistics Data analysis DNA DNA microarray Microtechnology Affymetrix Bioinformatics Imputation Biology Microarrays Science
104	Simulation Studies for the Identification of Genetic Networks from cDNA Array and Regulatory Activity Data Daniel E. Zak Francis J. Doyle III Add to Reading List Source URL: icsb-2001.org Language: English - Date: 2001-12-04 14:14:39 Chemistry Biochemistry Systems biology Bioinformatics Complementary DNA Gene regulatory network DNA microarray Biology DNA Gene expression
105	A Model-Free Greedy Gene Selection for Microarray Sample Class Prediction Yi Shi∗ , Zhipeng Cai∗ Department of Computing Science, University of Alberta Edmonton, Alberta T6G 2E8, Canada Email: ys3, ert Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Science Machine learning Model selection Dimension reduction Gene expression Gene expression profiling Support vector machine DNA microarray Feature selection Statistics Microarrays Biology
106	A comparison of Bayesian classification trees and random forest to identify classifiers for childhood leukaemia Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 21:22:04 Decision trees Statistics Gene expression Bioinformatics Random forest Decision tree learning DNA microarray Gene expression profiling Feature selection Biology Machine learning Microarrays
107	The Latent Process Decomposition of cDNA Microarray Data Simon Rogers and Mark Girolami Bioinformatics Research Centre, Department of Computing Science, University of Glasgow Luke Carrivick and Colin Campbell Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2009-01-27 07:16:33 Gene expression Molecular biology Bioinformatics Computational biology DNA microarray Gene expression profiling Significance analysis of microarrays Biology Microarrays Biochemistry
108	Orly Alter* Department of Biomedical Engineering, Institute for Cellular and Molecular Biology and Institute for Computational Engineering and Sciences, University of Texas, Austin, TXR Add to Reading List Source URL: www.alterlab.org Language: English - Date: 2006-10-23 17:39:28 RNA DNA Molecular genetics Cell cycle Gene DNA microarray Non-coding RNA Transcriptome Biology Gene expression Molecular biology
109	Microsoft PowerPoint - tut1.ppt Add to Reading List Source URL: www.statsci.org Language: English - Date: 2004-06-02 01:52:14 Bioinformatics Gene expression DNA Molecular biology DNA microarray MA plot Bioconductor Affymetrix Fold change Biology Microarrays Science
110	Using Gene Clustering to Identify Discriminatory Genes with Higher Classification Accuracy Zhipeng Cai∗ Department of Computing Science, University of Alberta Edmonton, Alberta T6G 2E8, Canada Email: ert Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2012-08-19 16:00:15 Molecular biology Gene expression Machine learning Statistical classification Gene expression profiling Support vector machine K-nearest neighbor algorithm Centimetre–gram–second system of units DNA microarray Biology Microarrays Statistics

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