In vjcitn/AmObjects: Object design (S4) for AMARETTO
Introduction
The general problem of multiomic data integration leads to
unusual situations of data volume, complexity, and annotation.
Metrics for comparing solutions are not readily available.
In the AmObjects package we use R's S4 object design
disciplines to hide complexity from end-users and to
provide hints so that model setup and results are easily
used in workflows that will evolve over time.
Initializing the AMARETTO procedures
In the following, iniobj is a lossless representation
of the TCGA-LIHC_AMARETTOinit constructed as a
small test case.
library(AmObjects)
origlist = AmObjects::LIHC_AMARETTOinit
names(origlist)
iniobj = AmInit(origlist)
iniobj
Representing AMARETTO results
reslist = AmObjects::LIHC_AMARETTOresults
names(reslist)
resobj = AmResults(reslist)
resobj
vjcitn/AmObjects documentation built on May 12, 2019, 12:29 a.m.
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Introduction
The general problem of multiomic data integration leads to unusual situations of data volume, complexity, and annotation. Metrics for comparing solutions are not readily available.
In the AmObjects package we use R's S4 object design disciplines to hide complexity from end-users and to provide hints so that model setup and results are easily used in workflows that will evolve over time.
Initializing the AMARETTO procedures
In the following, iniobj is a lossless representation
of the TCGA-LIHC_AMARETTOinit constructed as a
small test case.
library(AmObjects) origlist = AmObjects::LIHC_AMARETTOinit names(origlist) iniobj = AmInit(origlist) iniobj
Representing AMARETTO results
reslist = AmObjects::LIHC_AMARETTOresults names(reslist) resobj = AmResults(reslist) resobj
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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