-
Created
August 01, 2022 09:24
by
Researcher Metadata Database
-
Added
pystablemotifs_final.pdf
August 01, 2022 09:24
by
Researcher Metadata Database
-
Added Creator Jordan C. Rozum
August 01, 2022 09:24
by
Researcher Metadata Database
-
Added Creator Dávid Deritei
August 01, 2022 09:24
by
Researcher Metadata Database
-
Added Creator Kyu Hyong Park
August 01, 2022 09:24
by
Researcher Metadata Database
-
Added Creator Jorge Gómez Tejeda Zañudo
August 01, 2022 09:24
by
Researcher Metadata Database
-
Added Creator Réka Albert
August 01, 2022 09:24
by
Researcher Metadata Database
-
Published
August 01, 2022 09:24
by
Researcher Metadata Database
-
Updated
Work Title, Subtitle, Related URLs, and 1 more
Show Changes
October 02, 2023 13:11
by
avs5190
Work Title
Pystablemotifs
- pystablemotifs: Python library for attractor identification and control in Boolean networks
Subtitle
Python library for attractor identification and control in Boolean networks
Related URLs
- https://github.com/jcrozum/pystablemotifs/
Publication Date
-
October 02, 2023 13:17
by
avs5190
Description
<p>Summary: pystablemotifs is a Python 3 library for analyzing Boolean networks. Its non-heuristic and exhaustive attractor identification algorithm was previously presented in Rozum et al. (2021). Here, we illustrate its performance improvements over similar methods and discuss how it uses outputs of the attractor identification process to drive a system to one of its attractors from any initial state. We implement six attractor control algorithms, five of which are new in this work. By design, these algorithms can return different control strategies, allowing for synergistic use. We also give a brief overview of the other tools implemented in pystablemotifs. </p>
- <p>Summary: pystablemotifs is a Python 3 library for analyzing Boolean networks. Its non-heuristic and exhaustive attractor identification algorithm was previously presented in Rozum et al. (2021). Here, we illustrate its performance improvements over similar methods and discuss how it uses outputs of the attractor identification process to drive a system to one of its attractors from any initial state. We implement six attractor control algorithms, five of which are new in this work. By design, these algorithms can return different control strategies, allowing for synergistic use. We also give a brief overview of the other tools implemented in pystablemotifs. </p> Availability and implementation:
- The source code is on GitHub at https://github.com/jcrozum/pystablemotifs/.
- Supplementary information:
- Supplementary data are available at Bioinformatics online.
-
October 02, 2023 13:17
by
avs5190
Description
<p>Summary: pystablemotifs is a Python 3 library for analyzing Boolean networks. Its non-heuristic and exhaustive attractor identification algorithm was previously presented in Rozum et al. (2021). Here, we illustrate its performance improvements over similar methods and discuss how it uses outputs of the attractor identification process to drive a system to one of its attractors from any initial state. We implement six attractor control algorithms, five of which are new in this work. By design, these algorithms can return different control strategies, allowing for synergistic use. We also give a brief overview of the other tools implemented in pystablemotifs. </p> Availability and implementation:
- <p>Summary: pystablemotifs is a Python 3 library for analyzing Boolean networks. Its non-heuristic and exhaustive attractor identification algorithm was previously presented in Rozum et al. (2021). Here, we illustrate its performance improvements over similar methods and discuss how it uses outputs of the attractor identification process to drive a system to one of its attractors from any initial state. We implement six attractor control algorithms, five of which are new in this work. By design, these algorithms can return different control strategies, allowing for synergistic use. We also give a brief overview of the other tools implemented in pystablemotifs. </p>
- Availability and implementation:
- The source code is on GitHub at https://github.com/jcrozum/pystablemotifs/.
- Supplementary information:
- Supplementary data are available at Bioinformatics online.
-
Updated
April 04, 2024 10:21
by
[unknown user]