- recipe bioconductor-tigre
Transcription factor Inference through Gaussian process Reconstruction of Expression
- Homepage
- License
AGPL-3
- Recipe
- Links
biotools: tigre
The tigre package implements our methodology of Gaussian process differential equation models for analysis of gene expression time series from single input motif networks. The package can be used for inferring unobserved transcription factor (TF) protein concentrations from expression measurements of known target genes, or for ranking candidate targets of a TF.
- package bioconductor-tigre¶
-
- Versions
1.48.0-1
,1.48.0-0
,1.46.0-0
,1.44.0-1
,1.44.0-0
,1.42.0-0
,1.40.0-0
,1.38.0-1
,1.36.0-0
,1.48.0-1
,1.48.0-0
,1.46.0-0
,1.44.0-1
,1.44.0-0
,1.42.0-0
,1.40.0-0
,1.38.0-1
,1.36.0-0
,1.34.0-0
,1.32.0-0
,1.30.0-0
- Depends
bioconductor-annotate
>=1.72.0,<1.73.0
bioconductor-annotationdbi
>=1.56.0,<1.57.0
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-biocgenerics
>=0.40.0,<0.41.0
libblas
>=3.8.0,<4.0a0
libgcc-ng
>=10.3.0
liblapack
>=3.8.0,<4.0a0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-tigre
and update with:
conda update bioconductor-tigre
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-tigre:<tag>
(see bioconductor-tigre/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-tigre/README.html)