BENGI | Annotations and scripts from Moore | Genomics library

by weng-lab Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | BENGI Summary

BENGI is a Python library typically used in Artificial Intelligence, Genomics applications. BENGI has no bugs, it has no vulnerabilities and it has low support. However BENGI build file is not available. You can download it from GitHub.

Annotations and scripts from Moore...Weng (2020) Genome Biology.

Support

Quality

Security

License

Reuse

Support

BENGI has a low active ecosystem.

It has 9 star(s) with 3 fork(s). There are 12 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 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BENGI is current.

Quality

BENGI has 0 bugs and 0 code smells.

Security

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

BENGI code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

BENGI does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

BENGI has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

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

Creates a dictionary of BED files .
Runs an XGBClassifier .
Run GradientBoosting Classifier .
Determine the nearby TsS .
Runs the cross - validation algorithm .
Creates a feature array .
Convert els to dictionary
Process the data into a dictionary .
Process a ccre dictionary .
Creates a test set .

Get all kandi verified functions for this library.

BENGI Key Features

No Key Features are available at this moment for BENGI.

BENGI Examples and Code Snippets

No Code Snippets are available at this moment for BENGI.

Community Discussions

Trending Discussions on BENGI

OpenGL doesn't find context while coding shaders.: LWJGL

Nested Dictionary Dataframe Error Shape of passed values is (13, 1), indices imply (13, 13)

QUESTION

OpenGL doesn't find context while coding shaders.: LWJGL

Asked 2020-Sep-22 at 14:09

I was on lwjgl, just coding my engine as I'm gonna reuse it for other projects. But as i was coding my shaders, and tested, it gave this error.

...

ANSWER

Answered 2020-Sep-22 at 13:56

GL.createCapabilities(true); has to be called before init(). Note in the is an abstract method. It is overridden and the StaticShader object is constructed in init. Therefore, the OpenGL capability must be ensured beforehand:

Source https://stackoverflow.com/questions/64007656

QUESTION

Nested Dictionary Dataframe Error Shape of passed values is (13, 1), indices imply (13, 13)

Asked 2020-Apr-25 at 10:29

I am working on a nested dictionary and I need help on creating the dataframe.

Python Codes:

...

ANSWER

Answered 2020-Apr-25 at 10:29

Converting the column dictionaries to DataFrames and running the following:

Source https://stackoverflow.com/questions/61423953

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

Vulnerabilities

No vulnerabilities reported

Install BENGI

You can download it from GitHub.
You can use BENGI 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.

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 .

Find more information at: