Skip to main content

Library to perform Combinatorial Fusion Analysis

Project description

A Combinatorial Fusion Analysis (CFA) to enhance Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) performance of ML models. CFA models show superior performance compared to most of the individual ML models. The CFA model architecture and the performance of CFA models on TDC and other internal datasets is presented on the GitHub repo. Significant enhancement suggests that CFA is a viable tool for improving ADMET ML model performance, offering promise for faster and more cost-effective drug development pipelines. Refer to the GitHub repo for more information on the package: https://github.com/mquazi/cfanalysis

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

cfanalysis-0.1.11-py3-none-any.whl (5.5 kB view details)

Uploaded Python 3

File details

Details for the file cfanalysis-0.1.11-py3-none-any.whl.

File metadata

  • Download URL: cfanalysis-0.1.11-py3-none-any.whl
  • Upload date:
  • Size: 5.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.7

File hashes

Hashes for cfanalysis-0.1.11-py3-none-any.whl
Algorithm Hash digest
SHA256 83225eec7fce2230508970c3440e1b80e70faf9d72807f8c80469d3281a6b41b
MD5 e68983b30fb8debd2cb6f9151c8b78b6
BLAKE2b-256 0727748e935c9e91edd16c66aefa69b1b2353600299ab38bfe7541079f37804a

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