Skip to main content

Smart consensus QSAR

Project description

QSARcons – a tool for searching optimal consensus of QSAR models

QSARcons is a package for finding the optimal consensus of QSAR models. This project is motivated by the fact that there are many different chemical descriptors and machine learning methods which can be combined into multiple QSAR models. So, a smart selection of the optimal subset of QSAR models (consensus) can be reasonable for many applications.

Overview

QSARcons can be used for:

  • Random consensus search

  • Systematic consensus search

  • Genetic consensus search

Installation

QSARcons can be installed using conda/mamba package managers.

pip install qsarcons

Tutorial

See an example in tutorial .

Project details


Download files

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

Source Distribution

qsarcons-1.1.0.tar.gz (15.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qsarcons-1.1.0-py3-none-any.whl (17.0 kB view details)

Uploaded Python 3

File details

Details for the file qsarcons-1.1.0.tar.gz.

File metadata

  • Download URL: qsarcons-1.1.0.tar.gz
  • Upload date:
  • Size: 15.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for qsarcons-1.1.0.tar.gz
Algorithm Hash digest
SHA256 04903912868950c7504c1297d4e696bb26c39212869b55dc6de834da5b5d34fe
MD5 01acf744d17c073de06300fd6c1c3108
BLAKE2b-256 5b63ca07760da15c240e32d4deb71ed7b4a7356bea655ae27342f739c61a5c8d

See more details on using hashes here.

File details

Details for the file qsarcons-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: qsarcons-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 17.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.19

File hashes

Hashes for qsarcons-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 669ac094605690290f616910b5add6be8be1a06ecf9e8df9f60182e71e01a7b0
MD5 4c12dac97cccb176a0e6861f8596e00a
BLAKE2b-256 1bd9ee2f351fe8f72ad298be64735109791f385781e4b32bbff3c28549356ef1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page