aggregateDSC: Combine predictions from several fitted models fitted with...

In maPredictDSC: Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge

Description

This function simply adds the posterior probabilities for a given class and sample from several models, and scales the resulting sums so that the sum over the classes is 1.0.

Usage

aggregateDSC(modlist)

Arguments

modlist

An object returned by predictDSC.

Details

See cited documents for more details.

Value

A a data frame with the predicted class membership belief value (posterior probability) for each sample (row) and each class (column).

Author(s)

Adi Laurentiu Tarca <[e-mail]>

References

Adi L. Tarca, Mario Lauria, Michael Unger, Erhan Bilal, Stephanie Boue, Kushal Kumar Dey, Julia Hoeng, Heinz Koeppl, Florian Martin, Pablo Meyer, Preetam Nandy, Raquel Norel, Manuel Peitsch, Jeremy J Rice, Roberto Romero, Gustavo Stolovitzky, Marja Talikka, Yang Xiang, Christoph Zechner, and IMPROVER DSC Collaborators, Strengths and limitations of microarray-based phenotype prediction: Lessons learned from the IMPROVER Diagnostic Signature Challenge. Bioinformatics, submitted 2013.

Tarca AL, Than NG, Romero R, Methodological Approach from the Best Overall Team in the IMPROVER Diagnostic Signature Challenge, Systems Biomedicine, submitted, 2013.

See Also

predictDSC

Examples

#see function predictDSC for example

maPredictDSC documentation built on Nov. 8, 2020, 5:11 p.m.