We have developed a linear modelling tool for analysis of two-colour microarray data that utilises a per-spot linear model to estimate expression differences. Given the design of the experiment, the program combines all relevant data to provide the best estimate of a particular difference in expression between samples. It constructs multiple estimates based on several slides and combines them to get the most precise overall estimates of differential expression. Every effort has been made to make this tool accessible to biologists and it contains many user-friendly option
This research mainly focused on statistical tools and software for the analysis of microarray data. ...
The problem of identifying differentially expressed genes in designed microar-ray experiments is con...
We estimate the number of microarrays that is required in order to gain reliable results from a comm...
BackgroundMany cutting-edge microarray analysis tools and algorithms, including commonly used limma ...
In the past several years many linear models have been proposed for analyzing two-color microarray d...
Each cell in a body contains thousands of genes encoded in DNA. At any given time, a cell expresses ...
Spotted microarray technology is rapidly becoming a mainstay for conducting gene expression experime...
This free open-source software implements academic research by the authors and co-workers. If you us...
Background: The detection of small yet statistically significant differences in gene expression in s...
Various statistical models have been proposed for detecting differential gene expression in data fro...
Microarrays are a tool for measuring the expression levels of a large number of genes simul-taneousl...
Microarray data represents the expression levels of genes for differ-ent samples and for different c...
DNA microarray experiment, a well-established experimental technique, aims understanding the functio...
Motivation: Spotted arrays are often printed with probes in duplicate or triplicate, but current met...
Abstract Background Nowadays, microarray gene expression analysis is a widely used technology that s...
This research mainly focused on statistical tools and software for the analysis of microarray data. ...
The problem of identifying differentially expressed genes in designed microar-ray experiments is con...
We estimate the number of microarrays that is required in order to gain reliable results from a comm...
BackgroundMany cutting-edge microarray analysis tools and algorithms, including commonly used limma ...
In the past several years many linear models have been proposed for analyzing two-color microarray d...
Each cell in a body contains thousands of genes encoded in DNA. At any given time, a cell expresses ...
Spotted microarray technology is rapidly becoming a mainstay for conducting gene expression experime...
This free open-source software implements academic research by the authors and co-workers. If you us...
Background: The detection of small yet statistically significant differences in gene expression in s...
Various statistical models have been proposed for detecting differential gene expression in data fro...
Microarrays are a tool for measuring the expression levels of a large number of genes simul-taneousl...
Microarray data represents the expression levels of genes for differ-ent samples and for different c...
DNA microarray experiment, a well-established experimental technique, aims understanding the functio...
Motivation: Spotted arrays are often printed with probes in duplicate or triplicate, but current met...
Abstract Background Nowadays, microarray gene expression analysis is a widely used technology that s...
This research mainly focused on statistical tools and software for the analysis of microarray data. ...
The problem of identifying differentially expressed genes in designed microar-ray experiments is con...
We estimate the number of microarrays that is required in order to gain reliable results from a comm...