EstSE: Estimate sensitivity

In jinghan1018/tensorICA: tensorICA

Description

Estimate sensitivity.

Usage

EstSE(tica.o, tp, topN = length(tp))

Arguments

tica.o	The TICA result object, which can be obtained by function *DoTICA*.
tp	An index vector labeling the true positive features associated with a factor of interest, which we know drives joint variation in the data, and which therefore the algorithm should capture.
topN	The number of top-ranked features to select from each inferred component. It must be specified and by default it equals the number of true positives.

Value

se The sensitivity list of all inferred components.

pv The p value list of all inferred components.

se.p A figure of 'se' list.

pv.p A figure of 'pv' list.

References

Teschendorff AE, Han J, Paul D, Virta J, Nordhausen K. Tensorial Blind Source Separation for Improved Analysis of Multi-Omic Data. Genome Biology (2018) 19:76.

Examples

data(buccalbloodtensor);
Dim.l <- EstDim(buccalbloodtensor$data);
dim <- Dim.l$dim;
tica.o <- DoTICA(Data = buccalbloodtensor$data, dim = dim, method = "FOBI");
SE <- EstSE(tica.o = tica.o, tp = seq(501,562));
SE$se.p;
SE$pv.p;
 

jinghan1018/tensorICA documentation built on March 23, 2020, 5:26 a.m.