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» CoXpress: differential co-expression in gene expression data
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GCB
2010
Springer
204views Biometrics» more  GCB 2010»
13 years 6 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
VIS
2005
IEEE
204views Visualization» more  VIS 2005»
14 years 9 months ago
Differential Protein Expression Analysis via Liquid-Chromatography/Mass-Spectrometry Data Visualization
Differential protein expression analysis is one of the main challenges in proteomics. It denotes the search for proteins, whose encoding genes are differentially expressed under a...
Lars Linsen, Julia Löcherbach, Matthias Berth...
BIBM
2009
IEEE
155views Bioinformatics» more  BIBM 2009»
14 years 3 months ago
Towards Reliable Isoform Quantification Using RNA-Seq Data
Background: In eukaryotes, alternative splicing often generates multiple splice variants from a single gene. Here weexplore the use of RNA sequencing (RNA-Seq) datasets to address...
Brian E. Howard, Steffen Heber
BMCBI
2008
159views more  BMCBI 2008»
13 years 8 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
GECCO
2005
Springer
180views Optimization» more  GECCO 2005»
14 years 2 months ago
Inference of gene regulatory networks using s-system and differential evolution
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...
Nasimul Noman, Hitoshi Iba