Head of Software Department Publishes a Scientific Paper in a Prestigious International Journal on Gene Regulatory Networks

Duhaa Fadill Abbas
As part of the Software Department s continuous efforts at the College of Information Technology to support scientific research and stay abreast of contemporary technological challenges, PhD student Sara Ibrahim Mohammed, under the supervision of Assistant Professor Dr. Sara Zaki Al-Rasheed, Head of the Software Department, has published a distinguished scientific paper entitled:
"A review of methods for gene regulatory networks reconstruction and analysis"

The paper appeared in the Artificial Intelligence Review journal, published by the global academic publisher Springer, and is ranked in the first quartile (Q1) among scientific journals, with an impact factor of 10 and an h-index of 138.
The article is accessible via the digital object identifier (DOI):
https://doi.org/10.1007/s10462-025-11257-z

Abstract Summary:
This paper presents a comprehensive review of the latest methods and technologies employed in the reconstruction and analysis of Gene Regulatory Networks (GRNs) using gene expression data. It focuses on the integration of machine learning approaches, predictive modeling, and multi-omics data analysis.
Furthermore, the study addresses current research challenges and explores future directions in understanding the regulatory interactions among genes, highlighting their crucial role in elucidating genetic disorders and complex diseases.

This scientific achievement stands as a model of research excellence and interdisciplinary integration between computer science and molecular biology, reaffirming the pivotal role of the College of Information Technology in advancing artificial intelligence tools to serve the life sciences and bioinformatics.