APPLS | Applied Python Programming for Life Scientists | Machine Learning library

by bpucker Python Version: 1.0 License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(6)Vulnerabilities Install Support

kandi X-RAY | APPLS Summary

APPLS is a Python library typically used in Artificial Intelligence, Machine Learning applications. APPLS has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However APPLS build file is not available. You can download it from GitHub.

Applied Python Programming for Life Scientists. This course is intended for life scientists without any prior knowledge about bioinformatics/programming. The objective is to provide a sufficient amount of knowledge about Python to solve small problems by writing simple scripts. Feel free to re-use our slides and please report any mistakes that you discover. We are planning to provide an updated version in the future.

Support

Quality

Security

License

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Support

APPLS has a low active ecosystem.

It has 7 star(s) with 6 fork(s). There are no watchers for this library.

It had no major release in the last 12 months.

There are 1 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 APPLS is 1.0

Quality

APPLS has no bugs reported.

Security

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

License

APPLS is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

APPLS releases are available to install and integrate.

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

construct a plot
construct a plot of the gene structure
get information from gff file
this function calculates the maximum value of the selected gene structures
load a gene expression file
Main function for rendering a heatmap .
Extract SNPs from a VCF file .
Load BLAST results from file .
Calculate the RGB color
Render a template .

Get all kandi verified functions for this library.

APPLS Key Features

No Key Features are available at this moment for APPLS.

APPLS Examples and Code Snippets

No Code Snippets are available at this moment for APPLS.

Community Discussions

Trending Discussions on APPLS

React Native transforming Class to Function

parse JSON Array with spaces in bash

How fit_transform, transform and TfidfVectorizer works

Implement JSON data from API into mat-autocomplete input

Determining canonical classes with text data

Deleting a specific letter in an element with a length of at least one

QUESTION

React Native transforming Class to Function

Asked 2021-Mar-05 at 20:05

I'm having an incredibly hard time going from a Class to a function and I'm very stumped right now. If I can get help, I would much appreciate it. I deleted render but I'm stumped with how I should alter the state.

Code (currently a Class):

...

ANSWER

Answered 2021-Mar-05 at 20:05

The following seems to work (https://snack.expo.io/MBUMn_I8q):

Source https://stackoverflow.com/questions/66498849

QUESTION

parse JSON Array with spaces in bash

Asked 2020-Nov-26 at 00:17

I'm trying to parse the below json array and get the values from it. But it is not working with spaces as values. I did find some solutions in stackoverflow but nothing seems to work.

JSON

...

ANSWER

Answered 2020-Nov-26 at 00:17

You need to quote your variables in the shell to prevent from word splitting:

Source https://stackoverflow.com/questions/65014334

QUESTION

How fit_transform, transform and TfidfVectorizer works

Asked 2020-Mar-12 at 16:46

I'm working on a fuzzy matching project and I have found a very interesting method : awesome_cossim_top

I globally understood the definition but do not understand what is happening when we do fit_transform

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ANSWER

Answered 2020-Mar-12 at 10:53

TfidfVectorizer.fit_transform is used to create vocabulary from the training dataset and TfidfVectorizer.transform is used to map that vocabulary to test dataset so that the number of features in test data remain same as train data. Below example might help:

Source https://stackoverflow.com/questions/60642043

QUESTION

Implement JSON data from API into mat-autocomplete input

Asked 2019-Jul-31 at 13:28

I am trying to use Angular Material Component "Highlight the first autocomplete option" onto an input which uses JSON data from an API server (which already works by fetching all the JSON data). Don't know where I am going wrong with this.

I have tried using the Angular Material example but that uses the hardcoding method where I need my data from an API

service.ts

...

ANSWER

Answered 2019-Jul-31 at 13:28

The array you want, is inside _APPLS, so you need to extract that:

Source https://stackoverflow.com/questions/57282609

QUESTION

Determining canonical classes with text data

Asked 2017-Jul-25 at 19:30

I have a unique problem and I'm not aware of any algorithm that can help me. Maybe someone on here does.

I have a dataset compiled from many different sources (teams). One field in particular is called "type". Here are some example values for type:

aple, apples, appls, ornge, fruits, orange, orange z, pear, cauliflower, colifower, brocli, brocoli, leeks, veg, vegetables.

What I would like to be able to do is to group them together into e.g. fruits, vegetables, etc.

Put another way I have multiple spellings of various permutations of a parent level variable (fruits or vegetables in this example) and I need to be able to group them as best I can.

The only other potentially relevant feature of the data is the team that entered it, assuming some consistency in the way each team enters their data.

So, I have several million records of multiple spellings and short spellings (e.g. apple, appls) and I want to group them together in some way. In this example by fruits and vegetables.

Clustering would be challenging since each entry is most often 1 or two words, making it tricky to calculate a distance between terms.

Short of creating a massive lookup table created by a human (not likely with millions of rows), is there any approach I can take with this problem?

...

ANSWER

Answered 2017-Jul-25 at 19:30

You will need to first solve the spelling problem, unless you have Google scale data that could allow you to learn fixing spelling with Google scale statistics.

Then you will still have the problem that "Apple" could be a fruit or a computer. Apple and "Granny Smith" will be completely different. You best guess at this second stage is something like word2vec trained on massive data. Then you get high dimensional word vectors, and can finally try to solve the clustering challenge, if you ever get that far with decent results. Good luck.

Source https://stackoverflow.com/questions/45300866

QUESTION

Deleting a specific letter in an element with a length of at least one

Asked 2017-Jul-21 at 09:04

Given the list:

...

ANSWER

Answered 2017-Jul-21 at 03:55

As per my understanding you just want to remove "e" from the first element of the list?

Source https://stackoverflow.com/questions/45228637

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

Vulnerabilities

No vulnerabilities reported

Install APPLS

You can download it from GitHub.
You can use APPLS 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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