Installation | Introduction | GTEx model | TCGA model
Package: NetActivityData 1.15.0
Carlos Ruiz-Arenas
NetActivityData: Data required for getting the gene set scores with NetActivity package
This package contains the weights from pre-trained shallow sparsely-connected autoencoders. This data is required for getting the gene set scores with NetActivity package.
Authors:
NetActivityData_1.15.0.tar.gz
NetActivityData_1.15.0.tar.gz(r-4.7-any)NetActivityData_1.15.0.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NetActivityData/json (API)
| # Install 'NetActivityData' in R: |
| install.packages('NetActivityData', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- gtex_gokegg - Weights of GO_KEGG model trained with GTEx samples
- gtex_gokegg_annot - Annotation of GO_KEGG model trained with GTEx samples
- tcga_gokegg - Weights of GO_KEGG model trained with TCGA samples
- tcga_gokegg_annot - Annotation of GO_KEGG model trained with TCGA samples
On BioConductor:NetActivityData-1.15.0(data/experiment 3.24)NetActivityData-1.14.0(data/experiment 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
experimentdatarepositorydatadatapkg
Last updated from:83e92c0141. Checks:1 WARNING, 3 OK. Indexed: yes.
This is a data package. Data packages may be large and do not get checked across all platforms.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 119 | ||
| linux-devel | OK | 219 | ||
| source / vignettes | OK | 224 | ||
| linux-release | OK | 193 |
Exports:
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Weights of GO_KEGG model trained with GTEx samples | gtex_gokegg |
| Annotation of GO_KEGG model trained with GTEx samples | gtex_gokegg_annot |
| NetActivityData: data required for getting the gene set scores with NetActivity package | NetActivityData |
| Weights of GO_KEGG model trained with TCGA samples | tcga_gokegg |
| Annotation of GO_KEGG model trained with TCGA samples | tcga_gokegg_annot |