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DNA microarray
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381	© 2007 Nature Publishing Group http://www.nature.com/naturebiotechnology CORRESPONDENCE n = 15. In each pair of samples, we selected a fixed number (k = 100, 150, 200, 250, 300) of top genes ranked (in decreasing order Add to Reading List Source URL: www.nature.com Language: English - Date: 2014-06-30 18:21:20 Molecular biology DNA DNA microarray Microtechnology Northern blot Functional genomics Candidate gene Bioinformatics Microarray analysis techniques Biology Microarrays Gene expression
382	Heredity (2006), 1–9 & 2006 Nature Publishing Group All rights reserved 0018-067X/06 $30.00 SHORT REVIEW www.nature.com/hdy Add to Reading List Source URL: shiulab.plantbiology.msu.edu Language: English - Date: 2006-12-28 09:54:50 Genomics Molecular biology Gene expression Bioinformatics Tiling array DNA microarray Copy-number variation ChIP-on-chip Human genome Biology Genetics Microarrays
383	© 2007 Nature Publishing Group http://www.nature.com/naturebiotechnology CORRESPONDENCE each one may consist of as many as 10,000 different species, each ranging from a few to thousands of copies per cell. Clearly, one Add to Reading List Source URL: www.nature.com Language: English - Date: 2014-06-30 18:21:21 DNA microarray Gene expression Tissue microarray Serial analysis of gene expression Bioinformatics Microarray Differential display Microarray analysis techniques Gene expression profiling Biology Microarrays Biochemistry
384	Executive Summary of Salmonella Rapid Detection Interagency Group Add to Reading List Source URL: www.fda.gov Language: English Gram-negative bacteria Salmonella Food safety Foodborne illness DNA microarray Biology Microbiology Enterobacteria
385	Using deep learning to enhance cancer diagnosis and classification Rasool Fakoor Faisal Ladhak Azade Nazi Manfred Huber Add to Reading List Source URL: learnlab.uta.edu Language: English - Date: 2013-06-18 00:11:44 Microarrays Dimension reduction Statistical classification Principal component analysis Unsupervised learning DNA microarray Pattern recognition Supervised learning Prostate cancer Statistics Machine learning Multivariate statistics
386	Mining Coherent Patterns from Heterogeneous Microarray Data Xiang Zhang Wei Wang Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2007-03-09 14:41:43 Gene expression Bioinformatics Cluster analysis Data mining DNA microarray Consensus clustering Gene chip analysis Statistics Microarrays Biology
387	BIOMARKER & ASSAY DEVELOPMENT We combine innovative high throughput technologies (e.g. next generation sequencing, real-time PCR, microarrays) with our own in-house workflow-based data analysis tools to support our partn Add to Reading List Source URL: www.ait.ac.at Language: English - Date: 2013-01-10 07:50:36 Microarrays Protein methods Molecular biology Epigenetics DNA Bioinformatics DNA methylation Protein microarray Chromatin immunoprecipitation Biology Genetics Biochemistry
388	Learning Transcriptional Regulatory Relationships Using Sparse Graphical Models Xiang Zhang1,2,3., Wei Cheng3., Jennifer Listgarten1, Carl Kadie1, Shunping Huang3, Wei Wang3, David Heckerman1* 1 Microsoft Research, Los A Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2012-09-12 21:42:32 Genetics Microarrays Systems biology Gene regulatory network Gene DNA microarray Promoter Bioinformatics Human genome Biology Gene expression Molecular biology
389	An Efficient Algorithm for Mining Coherent Patterns from Heterogeneous Microarrays Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2007-11-08 12:00:53 Microarrays Bioinformatics Cluster analysis Gene expression Computational biology Biclustering Gene expression profiling DNA microarray SUBCLU Statistics Biology Science
390	PharmaSUG2011- Paper AD12 A SAS Macro Tool for Selecting Differentially Expressed Genes from Microarray Data Huanying Qin, Baylor Institute of Immunology Research, Dallas, TX Laia Alsina, Baylor Institute of Immunology Add to Reading List Source URL: www.pharmasug.org Language: English - Date: 2011-05-06 09:46:00 Biology Computing Bioinformatics Microsoft Excel SAS Fold change DNA microarray Macro SAS language Microarrays Software Gene expression

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