GSEApy | Gene Set Enrichment Analysis in Python | Genomics library
kandi X-RAY | GSEApy Summary
kandi X-RAY | GSEApy Summary
Gene Set Enrichment Analysis in Python
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Top functions reviewed by kandi - BETA
- Run Enrichr
- enrich the background
- Query gene ids
- Return the set of background genes
- Generate a tensorflow tensorflow problem
- Compute the FDR distribution
- Compute the significance of a GSE
- Compute the p - value p - value
- Run the analysis
- Compute the heatmatrix for each phenotype
- Load genesets from gmt
- Load a Gmt file into memory
- Compute the fitness scores for the given gene
- Generate a ranking metric tensor
- Calculate enrichment score tensor
- Plot ring plot
- Save the figure
- Read a gmt file
- Prepare the output directory for gseapy
- Prepare the outdir for the gene_set
- Run SSGSEA analysis
- Plot a histogram of values
- Creates an argument parser
- Run prerank analysis
- Query gene identifiers
- Set the organism name
- Find the python version string
GSEApy Key Features
GSEApy Examples and Code Snippets
Community Discussions
Trending Discussions on GSEApy
QUESTION
I would like to be able to install R packages from GitHub in a R conda environment created by Snakemake, as well as python libraries via pip
in a python environment. I'll use these environments in a whole set of rules thereafter.
My initial thought was to create a rule running a script to install the specified packages.
For instance, my initial run was: snakemake -j1 --use-conda -R create_r_environment
.
My Snakefile:
...ANSWER
Answered 2020-Nov-01 at 09:18I think there are quite a few wrong things:
remotes::install_github("ramiromagno/gwasrapidd", upgrade = "never")
: In your r.yaml you should include theremotes
package.!pip install gseapy
is not valid python code. If anything, it is code to be executed by shell but I'm not sure that leading!
is correct. Also,gseapy
is available from bioconda I don;t see why you should install it with pip.
Before OP edited the question
My envs/r.yaml file:
QUESTION
Given a .yaml
file such as
ANSWER
Answered 2020-Jul-21 at 04:09Automatically? No, not in terms of a built-in CLI option for that purpose. But one could parse out all the package names (e.g., via grep/awk/sed), then check each of them with conda search
. The trick to check platform-specific branches in Anaconda Cloud repositories is to use the subdir
key for whatever platform you are validating for. For example,
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GSEApy
You can use GSEApy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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