Add to ORKGImports graphics Description Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification
Small sample size and high dimensionality of microarray data impose challenges on detecting differen...
<p>Significantly differentially expressed genes are those that are significantly up-regulated (red) ...
<p>List of differentially expressed genes and uncharacterized transcripts (±2 fold change, q<0.05).<...
Description This package provides a supervised technique able to identify differentially expressed g...
Imports graphics, grDevices, stats, methods Description Identification of differentially expressed g...
This file contains the data that was used in the paper titled "A Flexible, Interpretable, and Accura...
This file contains the data that was used in the paper titled "Supervised-learning is an accurate me...
Contains Perl & C algorithms used in the analysis as well as R scripts for producing figures. Does n...
<p>Relative gene expression levels shown with high expression are represented by red color and the l...
In current molecular biology, it becomes more and more important to identify differentially expresse...
RNA-seq data simulated from a negative binomial distribution, sampled without replacement, or modifi...
List of differentially expressed gene signatures newly discovered with the aid of meta-analysis meth...
Genes contain blue print of living organism. Malfunctioning occurred in cellular life is indicated b...
Description Performs gene set analysis based on GSZ scoring function and asymptotic p-value. It is d...
Genes contain blue print of living organism. Malfunctioning occurred in cellular life is indicated b...
Small sample size and high dimensionality of microarray data impose challenges on detecting differen...
<p>Significantly differentially expressed genes are those that are significantly up-regulated (red) ...
<p>List of differentially expressed genes and uncharacterized transcripts (±2 fold change, q<0.05).<...
Description This package provides a supervised technique able to identify differentially expressed g...
Imports graphics, grDevices, stats, methods Description Identification of differentially expressed g...
This file contains the data that was used in the paper titled "A Flexible, Interpretable, and Accura...
This file contains the data that was used in the paper titled "Supervised-learning is an accurate me...
Contains Perl & C algorithms used in the analysis as well as R scripts for producing figures. Does n...
<p>Relative gene expression levels shown with high expression are represented by red color and the l...
In current molecular biology, it becomes more and more important to identify differentially expresse...
RNA-seq data simulated from a negative binomial distribution, sampled without replacement, or modifi...
List of differentially expressed gene signatures newly discovered with the aid of meta-analysis meth...
Genes contain blue print of living organism. Malfunctioning occurred in cellular life is indicated b...
Description Performs gene set analysis based on GSZ scoring function and asymptotic p-value. It is d...
Genes contain blue print of living organism. Malfunctioning occurred in cellular life is indicated b...
Small sample size and high dimensionality of microarray data impose challenges on detecting differen...
<p>Significantly differentially expressed genes are those that are significantly up-regulated (red) ...
<p>List of differentially expressed genes and uncharacterized transcripts (±2 fold change, q<0.05).<...