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genevarfilter - Filter genes with small profile variance

Syntax

Mask = genevarfilter(Data)
[Mask, FData] = genevarfilter(Data)
[Mask, FData, FNames] = genevarfilter(Data, Names)

genevarfilter(..., 'Percentile', PercentileValue, ...)
genevarfilter(..., 'AbsValue', AbsValueValue, ...)

Arguments

Data	DataMatrix object or numeric matrix where each row corresponds to a gene. If a matrix, the first column is the names of the genes, and each additional column is the results from an experiment.
Names	Cell array with the name of a gene for each row of experimental data. Names has same number of rows as Data with each row containing the name or ID of the gene in the data set.
PercentileValue	Specifies a percentile below which gene expression profiles are removed. Enter a value from 0 to 100.
AbsValueValue	Property to specify an absolute value below which gene expression profiles are removed.

Description

Gene profiling experiments have genes that exhibit little variation in the profile and are generally not of interest in the experiment. These genes are commonly removed from the data.

Mask = genevarfilter(Data) calculates the variance for each gene expression profile in Data and then identifies the expression profiles with a variance less than the 10th percentile.

Mask is a logical vector with one element for each row in Data. The elements of Mask corresponding to rows with a variance greater than the threshold have a value of 1, and those with a variance less than the threshold are 0.

[Mask, FData] = genevarfilter(Data) returns FData, a filtered data matrix. You can also create FData using FData = Data(Mask,:).

[Mask, FData, FNames] = genevarfilter(Data, Names) returns FNames, a filtered names array, where Names is a cell array of the names of the genes corresponding to each row in Data. You can also create FNames using FNames = Names(Mask).

Note   If Data is a DataMatrix object with specified row names, you do not need to provide the second input Names to return the third output FNames.

genevarfilter(..., 'PropertyName', PropertyValue, ...) calls genevarfilter with optional properties that use property name/property value pairs. You can specify one or more properties in any order. Each PropertyName must be enclosed in single quotation marks and is case insensitive. These property name/property value pairs are as follows:.

genevarfilter(..., 'Percentile', PercentileValue, ...) removes from Data, the experimental data, the gene expression profiles with a variance less than the percentile specified by PercentileValue.

genevarfilter(..., 'AbsValue', AbsValueValue, ...) removes from Data gene expression profiles with a variance less than AbsValueValue.

Examples

1. Load the MAT-file, provided with the Bioinformatics Toolbox software, that contains yeast data. This MAT-file includes three variables: yeastvalues, a matrix of gene expression data, genes, a cell array of GenBank accession numbers for labeling the rows in yeastvalues, and times, a vector of time values for labeling the columns in yeastvalues

   load yeastdata

2. Filter genes with a small profile variance.

   [fyeastvalues, fgenes] = genevarfilter(yeastvalues,genes);

References

[1] Kohane I.S., Kho A.T., Butte A.J. (2003), Microarrays for an Integrative Genomics, Cambridge, MA:MIT Press.

See Also

Bioinformatics Toolbox functions: exprprofrange, exprprofvar, generangefilter, geneentropyfilter, genelowvalfilter

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