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» Microarray Gene Expression Data Analysis
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ICPR
2004
IEEE
16 years 29 days ago
Missing Microarray Data Estimation Based on Projection onto Convex Sets Method
DNA microarrays have gained widespread uses in biological studies. Missing values in a microarray experiment must be estimated before further analysis. In this paper, we propose a...
Alan Wee-Chung Liew, Hong Yan, Xiangchao Gan
BMCBI
2002
101views more  BMCBI 2002»
14 years 11 months ago
Match-Only Integral Distribution (MOID) Algorithm for high-density oligonucleotide array analysis
Background: High-density oligonucleotide arrays have become a valuable tool for highthroughput gene expression profiling. Increasing the array information density and improving th...
Yingyao Zhou, Ruben Abagyan
BIBM
2007
IEEE
171views Bioinformatics» more  BIBM 2007»
15 years 6 months ago
GenMiner: Mining Informative Association Rules from Genomic Data
GENMINER is a smart adaptation of closed itemsets based association rules extraction to genomic data. It takes advantage of the novel NORDI discretization method and of the CLOSE ...
Ricardo Martínez, Claude Pasquier, Nicolas ...
RECOMB
2002
Springer
16 years 5 days ago
Discovering local structure in gene expression data: the order-preserving submatrix problem
This paper concerns the discovery of patterns in gene expression matrices, in which each element gives the expression level of a given gene in a given experiment. Most existing me...
Amir Ben-Dor, Benny Chor, Richard M. Karp, Zohar Y...
BMCBI
2011
14 years 6 months ago
Empirical Bayesian models for analysing molecular serotyping microarrays
Background: Microarrays offer great potential as a platform for molecular diagnostics, testing clinical samples for the presence of numerous biomarkers in highly multiplexed assay...
Richard Newton, Jason Hinds, Lorenz Wernisch