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» Tissue classification with gene expression profiles
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150
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BMCBI
2005
121views more  BMCBI 2005»
15 years 3 months 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...
138
Voted
BMCBI
2007
113views more  BMCBI 2007»
15 years 3 months ago
miRAS: a data processing system for miRNA expression profiling study
Background: The study of microRNAs (miRNAs) is attracting great considerations. Recent studies revealed that miRNAs play as important regulators of gene expression and some even a...
Feng Tian, Huayue Zhang, Xinyu Zhang, Chi Song, Yo...
129
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BMCBI
2010
135views more  BMCBI 2010»
15 years 3 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
130
Voted
BMCBI
2006
87views more  BMCBI 2006»
15 years 3 months ago
Computational expression deconvolution in a complex mammalian organ
Background: Microarray expression profiling has been widely used to identify differentially expressed genes in complex cellular systems. However, while such methods can be used to...
Min Wang, Stephen R. Master, Lewis A. Chodosh
122
Voted
BMCBI
2010
85views more  BMCBI 2010»
15 years 3 months ago
Robust test method for time-course microarray experiments
Background: In a time-course microarray experiment, the expression level for each gene is observed across a number of time-points in order to characterize the temporal trajectorie...
Insuk Sohn, Kouros Owzar, Stephen L. George, Sujon...