recipe bioconductor-lpe

Methods for analyzing microarray data using Local Pooled Error (LPE) method

Homepage:

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

License:

LGPL

Recipe:

/bioconductor-lpe/meta.yaml

Links:

biotools: lpe, doi: 10.1093/bioinformatics/btg264

This LPE library is used to do significance analysis of microarray data with small number of replicates. It uses resampling based FDR adjustment, and gives less conservative results than traditional 'BH' or 'BY' procedures. Data accepted is raw data in txt format from MAS4, MAS5 or dChip. Data can also be supplied after normalization. LPE library is primarily used for analyzing data between two conditions. To use it for paired data, see LPEP library. For using LPE in multiple conditions, use HEM library.

package bioconductor-lpe

(downloads) docker_bioconductor-lpe

Versions:
1.84.0-01.80.0-01.76.0-11.76.0-01.74.0-01.72.0-01.68.0-01.66.0-01.64.0-1

1.84.0-01.80.0-01.76.0-11.76.0-01.74.0-01.72.0-01.68.0-01.66.0-01.64.0-11.64.0-01.62.0-01.60.0-01.58.0-11.58.0-01.56.0-01.54.0-01.52.0-0

Depends:
  • on r-base >=4.5,<4.6.0a0

Additional platforms:

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-lpe

to add into an existing workspace instead, run:

pixi add bioconductor-lpe

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-lpe

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-lpe

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-lpe:<tag>

(see bioconductor-lpe/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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