Learn R Programming

diffGeneAnalysis (version 1.54.0)

refGroup: Reference Group computes a robust estimate of inter-assay variability (Standard Error)

Description

refGroup takes a normalized, bias adjusted dataset and computes a robust estimate of inter-assay variability (Standard Error).This value is used here to perform T-tests. It can also be used in sample size calculations.The associative analysis method is then applied to the computed refernce group.

Usage

refGroup(biasAdjusted, numSlides, ctrl, exp, pval)

Arguments

biasAdjusted
biasAdjusted is a matrix of bias adjusted normalized microarray data.The first row consists of headers and the first column must consist of Gene Bank Id's.
numSlides
numSlides represents the total number of chips in a microarray dataset including control and experiment.
ctrl
ctrl represents the total number of ctrl chips in the microarray.
exp
exp represents the total number of experiment chips in the microarray.
pval
pval is the strigency value for computing the reference group. 0.05 is the normally suggested value.

Value

A matrix of 11 columns as described in the details and n rows where n stands for the number of genes in the microarray dataset.

Details

AssociativeAnalysis performs the Associative-T method of differential gene analysis.The user is asked to enter values for E and R.E stand for the increase in fold over background and R stands for the ratio of experimental chips average over control chips average. The higher these values the higher will be the stringency. Example dataset used here was run with an E values of 1 and R value of 1.5. The results are displayed in a 10 column matrix as follows

Column Representation. 1 Gene Bank ID

2 Average Signal of the Control Chips/Channels.

3 SD of Control Chips/Channels.

4 Probability that a given gene in the Control Chips/Channels belongs or does not belong to background. 5 Average Signal of the Experimental Chips/Channels.

6 SD of Experimental Chips/Channels.

7 Probability that a given gene in the Experimental Chips/Channels belongs or does not belong to background.

8 P-value from a Student T-test.

9 P-value from an Associative T-test.

10 Ratio of mean expression values (Control/Experimental).

11 Group Number.

Group Numbers are defined as follows:.

A1 Expressed above background in both sample types, but over-expressed on the Experimental Chips/Channels.

A2 Expressed above background in both sample types, but over-expressed on the Control Chips/Channels.

A3 Expressed above background only on the Experimental Chips/Channel.

A4 Expressed above background only in the Control Chips/Channel.

0 None of the above.

References

Dozmorov I,Centola,M. An associative analysis of gene expression array data.Bioinformatics. 2003 Jan22;19(2):204-11

Knowlton N,Dozmorov I, Centola M. Microarray data Analysis Tool box(MDAT): for normalization,adjustment and analysis of gene expression data.Bioonformatics. 2004 Dec 12;20(18):3687-90

Examples

Run this code

#refGroup(bAdjusted,7,3,4,0.05)

Run the code above in your browser using DataLab