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» Detecting microRNA activity from gene expression data
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RECOMB
2006
Springer
16 years 24 days ago
A Patient-Gene Model for Temporal Expression Profiles in Clinical Studies
Abstract. Pharmacogenomics and clinical studies that measure the temporal expression levels of patients can identify important pathways and biomarkers that are activated during dis...
Naftali Kaminski, Ziv Bar-Joseph
95
Voted
BMCBI
2010
193views more  BMCBI 2010»
15 years 18 days ago
Probe set filtering increases correlation between Affymetrix GeneChip and qRT-PCR expression measurements
Background: Affymetrix GeneChip microarrays are popular platforms for expression profiling in two types of studies: detection of differential expression computed by p-values of t-...
Jakub Mieczkowski, Magdalena E. Tyburczy, Michal D...
EVOW
2008
Springer
15 years 2 months ago
Detection of Quantitative Trait Associated Genes Using Cluster Analysis
Abstract. Many efforts have been involved in association study of quantitative phenotypes and expressed genes. The key issue is how to efficiently identify phenotype-associated gen...
Zhenyu Jia, Sha Tang, Dan Mercola, Shizhong Xu
105
Voted
CSB
2005
IEEE
137views Bioinformatics» more  CSB 2005»
15 years 6 months ago
A Learned Comparative Expression Measure for Affymetrix GeneChip DNA Microarrays
Perhaps the most common question that a microarray study can ask is, “Between two given biological conditions, which genes exhibit changed expression levels?” Existing methods...
Will Sheffler, Eli Upfal, John Sedivy, William Sta...
BMCBI
2005
121views more  BMCBI 2005»
15 years 12 days ago
Comparison of seven methods for producing Affymetrix expression scores based on False Discovery Rates in disease profiling data
Background: A critical step in processing oligonucleotide microarray data is combining the information in multiple probes to produce a single number that best captures the express...
Kerby Shedden, Wei Chen, Rork Kuick, Debashis Ghos...