Mining of novel regulatory networks for cyclindependent kinase inhibitors
Keywords:
Cyclin-dependent kinase inhibitors, Regulatory networks, Multi-omics data, Machine learningAbstract
This article aims to explore novel regulatory networks of cyclin-dependent kinase inhibitors (CKIs). Firstly, it introduces the basic concept and importance of CKIs. Then, it elaborates on the commonly used methods and techniques for mining regulatory networks, including multi-omics data integration and machine learning algorithms. Based on these methods, the article provides a detailed analysis of the discovered novel regulatory networks of CKIs and their supporting data. Finally, it discusses the potential applications of these novel regulatory networks in disease research and treatment, as well as future research directions. This provides a new perspective and theoretical basis for a deeper understanding of cell cycle regulation mechanisms and the treatment of related diseases.
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