MMICA | MMICA : Maximal Mutual Information Component Analysis
kandi X-RAY | MMICA Summary
kandi X-RAY | MMICA Summary
MMICA is a Python library. MMICA has no bugs, it has no vulnerabilities and it has low support. However MMICA build file is not available. You can download it from GitHub.
Maximal Mutual Information Component Analysis. The details on the algorithm and application can be found in Detecting Microbial Dysbiosis Associated with Pediatric Crohn Disease Despite the High Variability of the Gut Microbiota published on Cell Reports in 2016.
Maximal Mutual Information Component Analysis. The details on the algorithm and application can be found in Detecting Microbial Dysbiosis Associated with Pediatric Crohn Disease Despite the High Variability of the Gut Microbiota published on Cell Reports in 2016.
Support
Quality
Security
License
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Support
MMICA has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
MMICA has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of MMICA is current.
Quality
MMICA has no bugs reported.
Security
MMICA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
MMICA 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
MMICA releases are not available. You will need to build from source code and install.
MMICA has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed MMICA and discovered the below as its top functions. This is intended to give you an instant insight into MMICA implemented functionality, and help decide if they suit your requirements.
- Compute the MIC of A .
- Calculate the value of a Gaussian distribution .
- Compute the mean value of a Gaussian distribution .
Get all kandi verified functions for this library.
MMICA Key Features
No Key Features are available at this moment for MMICA.
MMICA Examples and Code Snippets
No Code Snippets are available at this moment for MMICA.
Community Discussions
No Community Discussions are available at this moment for MMICA.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install MMICA
You can download it from GitHub.
You can use MMICA 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 MMICA 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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