4.7 Article

AEON.py: Python library for attractor analysis in asynchronous Boolean networks

期刊

BIOINFORMATICS
卷 38, 期 21, 页码 4978-4980

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btac624

关键词

-

资金

  1. Grant Agency of Masaryk University [MUNI/G/1771/2020]

向作者/读者索取更多资源

AEON.py is a Python library used for analyzing the long-term behavior of very large asynchronous Boolean networks. It offers significant computational improvements over existing methods for attractor detection and can analyze partially specified networks with uncertain update functions. It also includes techniques for identifying viable source-target control strategies and evaluating their robustness with parameter perturbations.
AEON.py is a Python library for the analysis of the long-term behaviour in very large asynchronous Boolean networks. It provides significant computational improvements over the state-of-the-art methods for attractor detection. Furthermore, it admits the analysis of partially specified Boolean networks with uncertain update functions. It also includes techniques for identifying viable source-target control strategies and the assessment of their robustness with respect to parameter perturbations. Availability and implementation: All relevant results are available in Supplementary Materials. The tool is accessible through https://github.com/sybila/biodivine-aeon-py.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据