Package: SCFA 1.17.0

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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SCFA.pdf |SCFA.html✨
SCFA/json (API)
NEWS

# Install 'SCFA' in R:

install.packages('SCFA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

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

Datasets:

GBM - GBM

On BioConductor:SCFA-1.17.0(bioc 3.21)SCFA-1.16.0(bioc 3.20)

survival clustering classification

4.48 score 3 stars 2 scripts 168 downloads 1 mentions 2 exports 46 dependencies

Last updated 4 months agofrom:694c1c8de3. Checks:8 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 29 2025
R-4.5-win	OK	Jan 29 2025
R-4.5-mac	OK	Jan 29 2025
R-4.5-linux	OK	Jan 29 2025
R-4.4-win	OK	Jan 29 2025
R-4.4-mac	OK	Jan 29 2025
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