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» Analysis of variance components in gene expression data
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BIOINFORMATICS
2007
195views more  BIOINFORMATICS 2007»
14 years 10 months ago
Context-dependent clustering for dynamic cellular state modeling of microarray gene expression
Motivation: High-throughput expression profiling allows researchers to study gene activities globally. Genes with similar expression profiles are likely to encode proteins that ma...
Shinsheng Yuan, Ker-Chau Li
BIBM
2009
IEEE
155views Bioinformatics» more  BIBM 2009»
15 years 4 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
CEC
2007
IEEE
15 years 1 months ago
Evolving hypernetwork classifiers for microRNA expression profile analysis
Abstract-- High-throughput microarrays inform us on different outlooks of the molecular mechanisms underlying the function of cells and organisms. While computational analysis for ...
Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang
BMCBI
2006
128views more  BMCBI 2006»
14 years 10 months ago
An interactive tool for visualization of relationships between gene expression profiles
Background: Application of phenetic methods to gene expression analysis proved to be a successful approach. Visualizing the results in a 3-dimentional space may further enhance th...
Peter Ruzanov, Steven J. M. Jones
JCB
2007
198views more  JCB 2007»
14 years 9 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III