DeepCombi | A repository for the DeepCombi project
kandi X-RAY | DeepCombi Summary
kandi X-RAY | DeepCombi Summary
DeepCombi is a Python library. DeepCombi has no bugs, it has no vulnerabilities and it has low support. However DeepCombi build file is not available. You can download it from GitHub.
A Python framework for the analysis of GWAS data with special focus on explainable artificial intelligence.
A Python framework for the analysis of GWAS data with special focus on explainable artificial intelligence.
Support
Quality
Security
License
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Support
DeepCombi has a low active ecosystem.
It has 7 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DeepCombi is current.
Quality
DeepCombi has no bugs reported.
Security
DeepCombi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DeepCombi 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.
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DeepCombi releases are not available. You will need to build from source code and install.
DeepCombi 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 DeepCombi and discovered the below as its top functions. This is intended to give you an instant insight into DeepCombi implemented functionality, and help decide if they suit your requirements.
- Calculates chi - squared chi - squared .
- Create a LENet model .
- Creates a confusion matrix .
- Convert a character matrix to a feature matrix .
- Convert character matrix to feature matrix .
- Performs a deepcombi method using deepcombi method .
- Generate synthetic genotypes .
- Create a convolutional convolutional model .
- Generate synthetic phenotypes .
- Convert gene matrix to featuremat .
Get all kandi verified functions for this library.
DeepCombi Key Features
No Key Features are available at this moment for DeepCombi.
DeepCombi Examples and Code Snippets
No Code Snippets are available at this moment for DeepCombi.
Community Discussions
No Community Discussions are available at this moment for DeepCombi.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DeepCombi
You can download it from GitHub.
You can use DeepCombi 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.
You can use DeepCombi 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 .
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