In microarray data mining, one of the key problems is how to handle weak signals. Based on a bent piecewise linear accumulated distribution generally found in the microarray data, a new detectable threshold finding method is proposed to filter genes with unreliable information in this paper. More reliable and reproducible data is produced for the subsequent data mining
In this paper, fluorescent microarray images and various analysis techniques are described to improv...
AbstractIn biomedical science, data mining techniques have been applied to extract statistically sig...
Background: Reconstructing regulatory networks from gene expression profiles is a challenging probl...
We consider array experiments that compare expression levels of a high number of genes in two cell l...
Abstract Background Genome-wide or application-targeted microarrays containing a subset of genes of ...
The use of a constant fold-change to determine significant changes in gene expression has been widel...
DNA microarray analysis has evolved as the best promising technique for discovering diseases or for ...
Motivation: Following the advent of microarray technology in recent years, the challenge for biologi...
An objective of microarray data analysis is to identify gene expressions that are associated with a ...
Nowadays microarray technology enables scientists to monitor the expression levels of hundreds of th...
Abstract:-Microarray is an efficient method of gathering data that can be used for expressing the pa...
Microarray data routinely contain gene expression levels of thousands of genes. In the context of me...
Abstract Background In many microarray experiments, analysis is severely hindered by a major difficu...
In this paper, fluorescent microarray images and various analysis techniques are described to improv...
This paper proposes a procedure for finding significance of gene ranking. The microarray data usuall...
In this paper, fluorescent microarray images and various analysis techniques are described to improv...
AbstractIn biomedical science, data mining techniques have been applied to extract statistically sig...
Background: Reconstructing regulatory networks from gene expression profiles is a challenging probl...
We consider array experiments that compare expression levels of a high number of genes in two cell l...
Abstract Background Genome-wide or application-targeted microarrays containing a subset of genes of ...
The use of a constant fold-change to determine significant changes in gene expression has been widel...
DNA microarray analysis has evolved as the best promising technique for discovering diseases or for ...
Motivation: Following the advent of microarray technology in recent years, the challenge for biologi...
An objective of microarray data analysis is to identify gene expressions that are associated with a ...
Nowadays microarray technology enables scientists to monitor the expression levels of hundreds of th...
Abstract:-Microarray is an efficient method of gathering data that can be used for expressing the pa...
Microarray data routinely contain gene expression levels of thousands of genes. In the context of me...
Abstract Background In many microarray experiments, analysis is severely hindered by a major difficu...
In this paper, fluorescent microarray images and various analysis techniques are described to improv...
This paper proposes a procedure for finding significance of gene ranking. The microarray data usuall...
In this paper, fluorescent microarray images and various analysis techniques are described to improv...
AbstractIn biomedical science, data mining techniques have been applied to extract statistically sig...
Background: Reconstructing regulatory networks from gene expression profiles is a challenging probl...