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» Unfolding of Microarray Data
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BIBM
2008
IEEE
145views Bioinformatics» more  BIBM 2008»
14 years 2 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 ā...
Saira Ali Kazmi, Yoo-Ah Kim, Baikang Pei, Ravi Nor...
ISBRA
2007
Springer
14 years 1 months ago
Noise-Based Feature Perturbation as a Selection Method for Microarray Data
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identiļ¬cation of genes that are diļ¬€erentiall...
Li Chen, Dmitry B. Goldgof, Lawrence O. Hall, Stev...
AUSAI
2007
Springer
13 years 11 months ago
Hybrid Methods to Select Informative Gene Sets in Microarray Data Classification
Abstract. One of the key applications of microarray studies is to select and classify gene expression profiles of cancer and normal subjects. In this study, two hybrid approaches
Pengyi Yang, Zili Zhang
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Extended analysis of benchmark datasets for Agilent two-color microarrays
Background: As part of its broad and ambitious mission, the MicroArray Quality Control (MAQC) project reported the results of experiments using External RNA Controls (ERCs) on fiv...
Kathleen F. Kerr
BMCBI
2005
148views more  BMCBI 2005»
13 years 7 months ago
Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
Background: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is ...
Xin Gao, Peter X. K. Song