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BMCBI
2011
10 years 8 months ago
Meta-analysis of gene expression microarrays with missing replicates
Background: Many different microarray experiments are publicly available today. It is natural to ask whether different experiments for the same phenotypic conditions can be combin...
Fan Shi, Gad Abraham, Christopher Leckie, Izhak Ha...
BMCBI
2007
127views more  BMCBI 2007»
11 years 1 months ago
A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments
Background: With the explosion in data generated using microarray technology by different investigators working on similar experiments, it is of interest to combine results across...
Hyungwon Choi, Ronglai Shen, Arul M. Chinnaiyan, D...
BIBM
2008
IEEE
145views Bioinformatics» more  BIBM 2008»
11 years 8 months ago
Meta Analysis of Microarray Data Using Gene Regulation Pathways
Using microarray technology for genetic analysis in biological experiments requires computationally intensive tools to interpret results. The main objective here is to develop a ...
Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nor...
BMCBI
2006
130views more  BMCBI 2006»
11 years 1 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
BMCBI
2011
10 years 5 months ago
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
Alfredo A. Kalaitzis, Neil D. Lawrence
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