MALAX | Association testing of bisulfite sequencing methylation

by omerwe Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | MALAX Summary

MALAX is a Python library. MALAX has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

MALAX can be invoked via the script run_laplace.py.The list of available options can be seen by typing run_laplace.py --help.

Support

Quality

Security

License

Reuse

Support

MALAX has a low active ecosystem.

It has 3 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

MALAX has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MALAX is current.

Quality

MALAX has 0 bugs and 0 code smells.

Security

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

MALAX code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MALAX is licensed under the MIT License. This license is Permissive.

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

Reuse

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

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

It has 427 lines of code, 11 functions and 2 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed MALAX and discovered the below as its top functions. This is intended to give you an instant insight into MALAX implemented functionality, and help decide if they suit your requirements.

Test the beta function .
Performs anewale - Leas - Leaves test on the given covariance matrix .
Read Macau test .
Perform WAS test on a fixed - band distribution .
Calculates the coefficients of a covariance matrix
Solve a binary binom
Linear linear regression .
Calculate the approximator of the approximator function .
Symmetrize sparse matrix X .

Get all kandi verified functions for this library.

MALAX Key Features

No Key Features are available at this moment for MALAX.

MALAX Examples and Code Snippets

No Code Snippets are available at this moment for MALAX.

Community Discussions

Trending Discussions on MALAX

Heroku not allowing creating/reading from process

QUESTION

Heroku not allowing creating/reading from process

Asked 2020-Oct-28 at 18:02

I was working on a project involving reading from another process when I noticed that it kept throwing java.util.NoSuchElementException: No line found, so I made a Maven test application to check that it was Heroku's fault instead of my program's.

src/main/java/com/test/App.java:

...

ANSWER

Answered 2020-Oct-28 at 07:52

The issue occurs because you're calling nextLine on Scanner without checking if there even is a line. You need to check with hasNext to ensure nextLine will not fail.

The underlying reason why you get no lines is that you're not specifying a classpath when invoking java. java will not be able to find your compiled A class without it and fail with something like

Source https://stackoverflow.com/questions/64560669

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MALAX

MALAX is designed to work in Python 2.7, and depends on the following freely available Python packages:. Typically, the packages can be installed with the command "pip install --user <package_name>". MALAX is particularly easy to use with the Anaconda Python distribution. The numerically optimized version of Anaconda can speed MALAX significantly. Alternatively (if numerically optimized Anaconda can't be installed), for very fast performance it is recommended to have an optimized version of Numpy/Scipy installed on your system, using optimized numerical libraries such as OpenBLAS or Intel MKL (see Compilation instructions for scipy with Intel MKL).
numpy and scipy
scikit-learn
cython

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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