- recipe bioconductor-scfa
SCFA: Subtyping via Consensus Factor Analysis
- Homepage:
- License:
LGPL
- Recipe:
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.
- package bioconductor-scfa¶
-
- Versions:
1.8.0-0
,1.4.0-0
,1.2.0-0
,1.0.0-1
,1.0.0-0
- Depends:
bioconductor-biocparallel
>=1.32.0,<1.33.0
r-base
>=4.2,<4.3.0a0
r-torch
>=0.3.0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-scfa
and update with:
conda update bioconductor-scfa
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-scfa:<tag>
(see bioconductor-scfa/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scfa/README.html)