recipe bioconductor-buscorrect

Batch Effects Correction with Unknown Subtypes

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/BUScorrect.html

License:

GPL (>= 2)

Recipe:

/bioconductor-buscorrect/meta.yaml

Links:

biotools: buscorrect

High-throughput experimental data are accumulating exponentially in public databases. However, mining valid scientific discoveries from these abundant resources is hampered by technical artifacts and inherent biological heterogeneity. The former are usually termed "batch effects," and the latter is often modelled by "subtypes." The R package BUScorrect fits a Bayesian hierarchical model, the Batch-effects-correction-with-Unknown-Subtypes model (BUS), to correct batch effects in the presence of unknown subtypes. BUS is capable of (a) correcting batch effects explicitly, (b) grouping samples that share similar characteristics into subtypes, (c) identifying features that distinguish subtypes, and (d) enjoying a linear-order computation complexity.

package bioconductor-buscorrect

(downloads) docker_bioconductor-buscorrect

Versions:
1.28.0-0,  1.24.0-0,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.12.0-2,  1.12.0-1, 

1.28.0-0,  1.24.0-0,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.12.0-2,  1.12.0-1,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-0,  1.2.1-0,  1.0.0-0

Depends:

  • on bioconductor-summarizedexperiment >=1.40.0,<1.41.0

  • on bioconductor-summarizedexperiment >=1.40.0,<1.41.0a0

  • on libblas >=3.9.0,<4.0a0

  • on libgcc >=14

  • on liblapack >=3.9.0,<4.0a0

  • on liblzma >=5.8.2,<6.0a0

  • on libzlib >=1.3.1,<2.0a0

  • on r-base >=4.5,<4.6.0a0

  • on r-gplots

Additional platforms:
linux-aarch64

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-buscorrect

to add into an existing workspace instead, run:

pixi add bioconductor-buscorrect

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-buscorrect

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-buscorrect

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/bioconductor-buscorrect:<tag>

(see bioconductor-buscorrect/tags for valid values for <tag>).

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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