phenotypeXpression | Subclassification of disease states

by NCBI-Hackathons Python Version: v0.3.3 License: MIT

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

kandi X-RAY | phenotypeXpression Summary

phenotypeXpression is a Python library typically used in Healthcare, Pharma, Life Sciences applications. phenotypeXpression 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.

Subclassification of disease states based on the intersection of literature and expression

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Quality

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License

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Support

phenotypeXpression has a low active ecosystem.

It has 12 star(s) with 2 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 9 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of phenotypeXpression is v0.3.3

Quality

phenotypeXpression has 0 bugs and 0 code smells.

Security

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

phenotypeXpression code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

phenotypeXpression 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

phenotypeXpression releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

It has 835 lines of code, 50 functions and 15 files.

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

Top functions reviewed by kandi - BETA

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

Get command line arguments
Link a list of GDSIDs
Try to connect to NCBI
Write an OWL document to a JSON file
Run a phenoX server
Fetches PubMed abstracts for each gene
Get NCBI docs from a given database
Create subtype of GEO dataset

Get all kandi verified functions for this library.

phenotypeXpression Key Features

No Key Features are available at this moment for phenotypeXpression.

phenotypeXpression Examples and Code Snippets

No Code Snippets are available at this moment for phenotypeXpression.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install phenotypeXpression

Implemented in Python 3.6 and R. For simplicity, the install script setup.sh utilizes Anaconda3 for a self contained environment. Tested environments include Anaconda3 >= 4.3.1. To install:. A prebuilt docker image is available at https://hub.docker.com/r/ncbihackathons/phenotypexpression. Alternatively, a local installation via a setup script should work with your Anaconda/Miniconda installation. Otherwise it will install Anaconda in your home directory. In either case, it will build a "phenoX" environment and install into that location.

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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