Package: SCFA 1.15.0

Duc Tran

SCFA: SCFA: Subtyping via Consensus Factor Analysis

Subtyping via Consensus Factor Analysis (SCFA) can efficiently remove noisy signals from consistent molecular patterns in multi-omics data. SCFA first uses an autoencoder to select only important features and then repeatedly performs factor analysis to represent the data with different numbers of factors. Using these representations, it can reliably identify cancer subtypes and accurately predict risk scores of patients.

Authors:Duc Tran [aut, cre], Hung Nguyen [aut], Tin Nguyen [fnd]

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Bug tracker:https://github.com/duct317/scfa/issues

On BioConductor:SCFA-1.15.0(bioc 3.20)SCFA-1.14.0(bioc 3.19)

bioconductor-package

2 exports 0.36 score 46 dependencies 1 mentions

Last updated 2 months agofrom:3fcfca9180

Exports:SCFASCFA.class

Dependencies:BHBiocParallelbitbit64callrcliclustercodetoolscorocpp11descellipsisforeachformatRfutile.loggerfutile.optionsglmnetglueGPArotationigraphiteratorsjsonlitelambda.rlatticelifecyclemagrittrMatrixmatrixStatsmnormtnlmepkgconfigprocessxpspsychR6RcppRcppEigenRhpcBLASctlrlangsafetensorsshapesnowsurvivaltorchvctrswithr