LEAP | Liability Estimation for Case-Control Studies

by omerwe Jupyter Notebook Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | LEAP Summary

LEAP is a Jupyter Notebook library. LEAP has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

LEAP is a program for liability estimation in ascertained case-control genome-wide association studies, written in the Python language. LEAP estimates liabilities, that can then be treated as phenotypes in a GWAS context, which can greatly increase power. LEAP was published in: Accurate liability estimation improves power in ascertained case-control studies. Nat Methods 12, 332-4 (2015).

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Quality

Security

License

Reuse

Support

LEAP has a low active ecosystem.

It has 9 star(s) with 4 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 2 have been closed. On average issues are closed in 506 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LEAP is current.

Quality

LEAP has no bugs reported.

Security

LEAP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

LEAP is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

LEAP releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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LEAP Key Features

No Key Features are available at this moment for LEAP.

LEAP Examples and Code Snippets

No Code Snippets are available at this moment for LEAP.

Community Discussions

No Community Discussions are available at this moment for LEAP.Refer to stack overflow page for discussions.

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Vulnerabilities

No vulnerabilities reported

Install LEAP

LEAP has the following dependencies:. After installind these dependencies, you can install LEAP via: git clone https://github.com/omerwe/LEAP. To verify that everything is correctly installed, please run the script test.py. It will run a small example analysis and print an error message if any problem is found.
Python 3.6
Numpy and Scipy
Scikits-learn
The Python FaST-LMM package.