recipe bioconductor-scfa

SCFA: Subtyping via Consensus Factor Analysis

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/SCFA.html

License:

LGPL

Recipe:

/bioconductor-scfa/meta.yaml

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-cluster

• r-clustercrit

• r-coro

• r-glmnet

• r-igraph

• r-matrix

• r-matrixstats

• r-psych

• r-rhpcblasctl

• r-survival

• 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:

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