Package: iSubGen 1.0.1
iSubGen: Integrative Subtype Generation
Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations.
Authors:
iSubGen_1.0.1.tar.gz
iSubGen_1.0.1.zip(r-4.5)iSubGen_1.0.1.zip(r-4.4)iSubGen_1.0.1.zip(r-4.3)
iSubGen_1.0.1.tgz(r-4.4-any)iSubGen_1.0.1.tgz(r-4.3-any)
iSubGen_1.0.1.tar.gz(r-4.5-noble)iSubGen_1.0.1.tar.gz(r-4.4-noble)
iSubGen_1.0.1.tgz(r-4.4-emscripten)iSubGen_1.0.1.tgz(r-4.3-emscripten)
iSubGen.pdf |iSubGen.html✨
iSubGen/json (API)
# Install 'iSubGen' in R: |
install.packages('iSubGen', repos = c('https://pboutros.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:c785984cb5. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win | OK | Nov 12 2024 |
R-4.5-linux | OK | Nov 12 2024 |
R-4.4-win | OK | Nov 12 2024 |
R-4.4-mac | OK | Nov 12 2024 |
R-4.3-win | OK | Oct 13 2024 |
R-4.3-mac | OK | Oct 13 2024 |
Exports:apply.scalingcalculate.cis.matrixcalculate.integrative.similarity.matrixcalculate.scalingcluster.patientscombine.integrative.featurescreate.autoencodercreate.autoencoder.irf.matrixload.molecular.aberration.dataread.scaling.factorswrite.scaling.factors
Dependencies:ALLbackportsbase64encBiobaseBiocGenericscliclusterconfigConsensusClusterPlusgenericsglueherejsonlitekerasKernSmoothlatticelifecyclemagrittrMatrixphilentropypngpoormanprocessxpsR6rappdirsRcppRcppTOMLreticulaterlangrprojrootrstudioapitensorflowtfautographtfrunstidyselectvctrswhiskerwithryamlzeallot
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Apply scaling factors | apply.scaling |
Calculate consensus integrative correlation matrix | calculate.cis.matrix |
Calculate integrative similarity matrix | calculate.integrative.similarity.matrix |
Calculate scaling factors | calculate.scaling |
Clustering to find patient subtypes | cluster.patients |
Combine iSubGen integrative features | combine.integrative.features |
Create an autoencoder for dimensionality reduction | create.autoencoder |
Create matrix of independent reduced features | create.autoencoder.irf.matrix |
Load molecular aberration data | load.molecular.aberration.data |
Read scaling factors from file | read.scaling.factors |
Write scaling factors to file | write.scaling.factors |