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» Can we Find Molecular Signatures from Gene Expression Data
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PARMA
2004
136views Database» more  PARMA 2004»
13 years 10 months ago
Using Classification and Visualization on Pattern Databases for Gene Expression Data Analysis
Abstract. We are designing new data mining techniques on gene expression data, more precisely inductive querying techniques that extract a priori interesting bi-sets, i.e., sets of...
Céline Robardet, Ruggero G. Pensa, Jé...
BMCBI
2005
110views more  BMCBI 2005»
13 years 8 months ago
ProGenExpress: Visualization of quantitative data on prokaryotic genomes
Background: The integration of genomic information with quantitative experimental data is a key component of systems biology. An increasing number of microbial genomes are being s...
Michael Watson
BMCBI
2010
96views more  BMCBI 2010»
13 years 8 months ago
Incorporating gene co-expression network in identification of cancer prognosis markers
Background: Extensive biomedical studies have shown that clinical and environmental risk factors may not have sufficient predictive power for cancer prognosis. The development of ...
Shuangge Ma, Mingyu Shi, Yang Li, Danhui Yi, Ben-C...
DBPL
1993
Springer
95views Database» more  DBPL 1993»
14 years 23 days ago
A Moose and a Fox Can Aid Scientists with Data Management Problems
Fox Finding Objects of eXperiments is the declarative query language for Moose Modeling Objects Of Scienti c Experiments, an object-oriented data model at the core of a scient...
Janet L. Wiener, Yannis E. Ioannidis
BMCBI
2011
13 years 8 days ago
Evaluating methods for ranking differentially expressed genes applied to MicroArray Quality Control data
Background: Statistical methods for ranking differentially expressed genes (DEGs) from gene expression data should be evaluated with regard to high sensitivity, specificity, and r...
Koji Kadota, Kentaro Shimizu