Skip to main content

Protein Feature Extraction package for Machine Learning

Project description

Build Status License: MIT codecov GitHub version GitHub issues


Protein Feature Extraction for Machine Learning


Python code to extract features from Protein sequences for Machine Learning/Deep Learning

Protein feature extraction is carried out using Biopython package

**Features inculde:

  1. AA-count
  2. aromaticity
  3. secondary_structure_fraction
  4. isoelectric_point
  5. molecular_weight
  6. instability_index

Packages required (other than built-in) for the execution of code... -Pandas -pickle -Biopython -subprocess

Installation

For windows

pip install discere

For linux

pip3 install discere

Usage

  import discere.discere as di

  di.extract_feature('./Documents/positive_training.fasta', 
                     './Documents/negative_training.fasta', 
                     './Documents')

output

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for discere, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size discere-0.0.4-py3-none-any.whl (6.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size discere-0.0.4.tar.gz (5.0 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page