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Package 'WGCNA' - Laboratory Web Sites - UCLA

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8 automaticNetworkScreeningGS<br />

alignExpr<br />

Align expression data with given vector<br />

Description<br />

Multiplies genes (columns) in given expression data such that their correlation with given reference<br />

vector is non-negative.<br />

Usage<br />

alignExpr(datExpr, y = NULL)<br />

Arguments<br />

datExpr<br />

y<br />

expression data to be aligned. A data frame with columns corresponding to<br />

genes and rows to samples.<br />

reference vector of length equal the number of samples (rows) in datExpr<br />

Details<br />

The function basically multiplies each column in datExpr by the sign of its correlation with y. If<br />

y is not given, the first column in datExpr will be used as the reference vector.<br />

Value<br />

A data frame containing the aligned expression data, of the same dimensions as the input data frame.<br />

Author(s)<br />

Steve Horvath and Peter Langfelder<br />

automaticNetworkScreeningGS<br />

One-step automatic network gene screening with external gene significance<br />

Description<br />

This function performs gene screening based on external gene significance and their network properties.<br />

Usage<br />

automaticNetworkScreeningGS(<br />

datExpr, GS,<br />

power = 6, networkType = "unsigned",<br />

detectCutHeight = 0.995, minModuleSize = min(20, ncol(as.matrix(datExpr))/2<br />

datME = NULL)

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