mhcnuggets | Public facing repository for the MHCnuggets method

by KarchinLab Python Version: Current License: Apache-2.0

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

kandi X-RAY | mhcnuggets Summary

mhcnuggets is a Python library. mhcnuggets 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.

Welcome to MHCnuggets! Presumably you're here to do some peptide-MHC prediction and not because you were hungry.

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Quality

Security

License

Reuse

Support

mhcnuggets has a low active ecosystem.

It has 16 star(s) with 6 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 8 have been closed. On average issues are closed in 236 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mhcnuggets is current.

Quality

mhcnuggets has 0 bugs and 0 code smells.

Security

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

mhcnuggets code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mhcnuggets 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

mhcnuggets 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.

mhcnuggets saves you 1002 person hours of effort in developing the same functionality from scratch.

It has 2277 lines of code, 57 functions and 22 files.

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

Top functions reviewed by kandi - BETA

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

Predict from a VCF file
Predict from peptides
Read a VCF file
Create an LSTM model
Read a vcf file from a vcf file
Extract context peptides from context
Find the closest alleles to a given MHC
Checks if the candidate allele is better than the current allele
Find the closest alleles of a given model
Get the name of the closest human allele
Read a csv file
Binarize IC50
Map IC50 to a maximum IC50
Standardize mhc
Train a MHC model
Get a single allele
Get the allele for a given allele
Read a vcf file
Evaluate MHC model
Evaluate the MHC model
Calculate the MHC relation
Parse command line arguments
Perform a test on the model
Predict a model
HSTM model

Get all kandi verified functions for this library.

mhcnuggets Key Features

No Key Features are available at this moment for mhcnuggets.

mhcnuggets Examples and Code Snippets

No Code Snippets are available at this moment for mhcnuggets.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install mhcnuggets

MHCnuggets is pip installable as:. You might want to check if the Keras backend is configured to use the Tensorflow backend.
numpy
scipy
scikit-learn
pandas
tensorflow
keras

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: