duct317/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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | Classification Clustering Survival |
| Maintainer | |
| License | LGPL |
| Version | 1.9.2 |
| URL | https://github.com/duct317/SCFA |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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