Multi-modal critical edge biomarker identification method

• Main Authors: SUN ZENING, LI ZONGWEI, CHENG HAN, LIANG JING, ZENG TAO, LI XIA, GUO WEIFENG
• Format: Patent
• Language: Chinese; English
• Published: 26.12.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

The invention discloses a multi-modal critical edge biomarker identification method, which is characterized in that an individual cancer patient is regarded as a dynamic network system, a dynamic network theory biomarker theory and a multi-modal evolutionary algorithm are combined, a restricted Boltzmann machine is utilized to carry out hidden space search on the basis of an MMPDNB model, and the method is a new multi-modal PDENB identification model. Firstly, a PEN of a cancer individual patient is constructed; secondly, designing an optimization objective function; and finally, searching a PDENB set by using a multi-modal optimization algorithm. According to the method, research on mathematical models, algorithm design and the like for driving the PDENB identification problem can be promoted, the cancer individual heterogeneity can be understood, and early diagnosis and treatment of cancer individual patients can be realized. 本发明公开了一种多模态临界边生物标志物识别方法，将个体癌症病人看作动态网络系统，结合动态网络理生物标志物理论以及多模态进化算法，在MMPDNB模型的基础上利用受限波