koeken | A Linear Discriminant Analysis Effect Size wrapper | Genomics library

by twbattaglia Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | koeken Summary

koeken is a Python library typically used in Artificial Intelligence, Genomics applications. koeken 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.

Koeken is a wrapper around QIIME and LEfSe to create a more convienient and easier workflow from a QIIME OTU table to biomarker microbial species. It was specifically developed for the experiments which have more than one time point and many groups. Koeken allows the user to specify the variable which correspond to the 'Time' of a users dataset to run LEfSe on each 'Time' factor. Additionally it has the capabilities to specify particular groups to compare to one another, without any additionally subsetting.

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Quality

Security

License

Reuse

Support

koeken has a low active ecosystem.

It has 23 star(s) with 4 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 3 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of koeken is current.

Quality

koeken has 0 bugs and 0 code smells.

Security

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

koeken code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

koeken 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

koeken 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 are not available. Examples and code snippets are available.

koeken saves you 805 person hours of effort in developing the same functionality from scratch.

It has 1850 lines of code, 92 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Draw the image
Make a legend
Compute the f_ddist matrix
Compute the sdist matrix
R Return the reduced matrix
Get the names of the columns
Cluster fh clusters
Cluster the linkage
Return a list of feature labels
Return the labels of the sample labels
Returns the FDM matrix
Get the sdist matrix
Saves the matrix to a csv file
Return a numpy matrix representation of the table
Get a list of arguments

Get all kandi verified functions for this library.

koeken Key Features

No Key Features are available at this moment for koeken.

koeken Examples and Code Snippets

No Code Snippets are available at this moment for koeken.

Community Discussions

Trending Discussions on koeken

How can I find which category has the most products shipped and the net income from sales in that category?

QUESTION

How can I find which category has the most products shipped and the net income from sales in that category?

Asked 2021-Feb-03 at 00:55

Using the w3schools.com SQL tutorial Northwind database, I'm trying to display the category that has the most products shipped. Additionally, I want to display the net income from all sales in that category. I can't figure out how to take the category with the most products shipped, and use the amount of products shipped to calculate the net income of that category. This is because there are many different products that have the same CategoryID but different prices.

...

ANSWER

Answered 2021-Jan-25 at 07:24

So first of all you get the income for each product and category and then based on that you find total income for that category and you do this with the help of subquery, then you join this resultant table with the category table and with the help of group by you find the product count and total income for each category, below is the sql query for more indepth understanding

Source https://stackoverflow.com/questions/65871859

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

Vulnerabilities

No vulnerabilities reported

Install koeken

You can download it from GitHub.
You can use koeken 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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