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» NEC for Gene Expression Analysis
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TSMC
2008
136views more  TSMC 2008»
13 years 8 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
BMCBI
2005
132views more  BMCBI 2005»
13 years 8 months ago
Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein
Background: A large number of papers have been published on analysis of microarray data with particular emphasis on normalization of data, detection of differentially expressed ge...
Gajendra P. S. Raghava, Joon H. Han
BMCBI
2011
13 years 3 months ago
Investigating the effect of paralogs on microarray gene-set analysis
Background: In order to interpret the results obtained from a microarray experiment, researchers often shift focus from analysis of individual differentially expressed genes to an...
Andre J. Faure, Cathal Seoighe, Nicola J. Mulder
BMCBI
2010
100views more  BMCBI 2010»
13 years 9 months ago
A robust method for estimating gene expression states using Affymetrix microarray probe level data
Background: Microarray technology is a high-throughput method for measuring the expression levels of thousand of genes simultaneously. The observed intensities combine a non-speci...
Megu Ohtaki, Keiko Otani, Keiko Hiyama, Naomi Kame...
BMCBI
2002
101views more  BMCBI 2002»
13 years 8 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