Review and assessment of Boolean approaches for inference of gene regulatory networks

Pušnik, Žiga (avtor), Mraz, Miha (avtor), Zimic, Nikolaj (avtor), Moškon, Miha (avtor)

Boolean descriptions of gene regulatory networks can provide an insight into interactions between genes. Boolean networks hold predictive power, are easy to understand, and can be used to simulate the observed networks in different scenarios. We review fundamental and state-of-the-art methods for inference of Boolean networks. We introduce a methodology for a straightforward evaluation of Boolean inference approaches based on the generation of evaluation datasets, application of selected inference methods, and evaluation of performance measures to guide the selection of the best method for a given inference problem. We demonstrate this procedure on inference methods REVEAL (REVerse Engineering ALgorithm), Best-Fit Extension, MIBNI (Mutual Informationbased Boolean Network Inference), GABNI (Genetic Algorithm-based Boolean Network Inference) and ATEN (AND/OR Tree ENsemble algorithm), which infers Boolean descriptions of gene regulatory networks from discretised time series data. Boolean inference approaches tend to perform better in terms of dynamic accuracy, and slightly worse in terms of structural correctness. We believe that the proposed methodology and provided guidelines will help researchers to develop Boolean inference approaches with a good predictive capability while maintaining structural correctness and biological relevance.

• Jezik: Angleški jezik
• Ključne besede: Boolean network inference, gene regulatory networks, static validation, dynamic validation, systems biology
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.02 - Pregledni znanstveni članek
• Organizacija: FRI - Fakulteta za računalništvo in informatiko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: 15 str.
• Številčenje: Vol. 8, iss. 8, art. e10222
• PID: 20.500.12556/RUL-139693
• UDK: 004:575.112
• ISSN pri članku: 2405-8440
• DOI: 10.1016/j.heliyon.2022.e10222
• COBISS.SI-ID: 117893635
• Datum objave v RUL: 06.09.2022

Gradivo je del revije

• Naslov: Heliyon
• Založnik: Elsevier
• ISSN: 2405-8440
• COBISS.SI-ID: 21607432

Licence

• Licenca: CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
• Opis: Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: inferenca Boolovih mrež, gensko regulatorna omrežja, statična validacija, dinamična validacija, sistemska biologija