BIOCOMP
2009
13 years 6 months ago
2009
- With the lowering cost and the increasing discoveries, genomics research filed has materialized personal genome era. Especially, microarray gene expression platform has already m...
ISMB
2000
13 years 6 months ago
2000
We present a computational approach to predicting operons in the genomes of prokaryotic organisms. Our approach uses machine learning methods to induce predictive models for this ...
PSB
2003
13 years 6 months ago
2003
We propose a probabilistic model for cellular processes, and an algorithm for discovering them from gene expression data. A process is associated with a set of genes that particip...
WOB
2004
13 years 6 months ago
2004
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
PARMA
2004
13 years 6 months ago
2004
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...
ISMB
2004
13 years 6 months ago
2004
Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
FLAIRS
2004
13 years 6 months ago
2004
One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
BIOCOMP
2006
13 years 6 months ago
2006
A number of diseases, such as arthritis and cardiovascular disorders impacting the lives of many people have strong inflammatory components. To elucidate the antiinflammatory mecha...
BIOCOMP
2006
13 years 6 months ago
2006
In the past decades, many clustering algorithms have been proposed for the analysis of gene expression data, but little guidance is available to help choose among them. Given the ...
APBC
2004
13 years 6 months ago
2004
Using gene expression data for cancer detection is one of the famous research topics in bioinformatics. Theoretically, gene expression data is capable to detect all types of early...