translateBratwurstToYAPSA: Translate from Bratwurst to YAPSA

In wurst-theke/bratwurst: What the package does (short line)

Description

Bratwurst (this package, wrapping NMF on GPU functionality) and YAPSA are complementary. Both do signature analysis, but Bratwurst implements unsupervised analyses (based on NMF), YAPSA runs supervised analyses (based on LCD deconvolutions). Both have their own conventions and historically evolved data structures. This function translates from the Bratwurst world to the YAPSA world.

Usage

translateBratwurstToYAPSA(nmf.exp, normalize = TRUE)

Arguments

nmf.exp

Input data of class nmfExperiment

Value

A list of lists: outer list: different factorization ranks, inner list: different layers of information per factorization rank, e.g. exposures, norm_exposures, signatures or out_sig_ind_df

See Also

normalizeW

Examples

 NULL

wurst-theke/bratwurst documentation built on May 17, 2019, 9:14 a.m.