Gene regulatory network inference during cell fate decisions by perturbation strategies

• Published in: NPJ systems biology and applications Vol. 11; no. 1; pp. 23 - 10
• Main Authors: Hu, Qing, Lu, Xiaoqi, Xue, Zhuozhen, Wang, Ruiqi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 04.03.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/553/2699; 631/553/2711; 631/553/2712; Algorithms; Bioinformatics; Biomedical and Life Sciences; Cell Differentiation - genetics; Cell fate; Cell Lineage - genetics; Computational Biology - methods; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Computer applications; Computer Simulation; Epithelial-Mesenchymal Transition - genetics; Gene Regulatory Networks; Humans; Life Sciences; Network topologies; Ordinary differential equations; Statistical analysis; Statistics; Systems Biology

With rapid advances in biological technology and computational approaches, inferring specific gene regulatory networks from data alone during cell fate decisions, including determining direct regulations and their intensities between biomolecules, remains one of the most significant challenges. In t...