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Updated: May 30, 2025

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

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集群序列数据与混合马尔科夫链与共变量使用多个简单的受约束优化程序 (MSiCOR)

Priyam Das1, Deborshee Sen2, Debsurya De3

  • 1Department of Biostatistics, Virginia Commonwealth University, Richmond, VA.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
|January 29, 2025
PubMed
概括

一种新的全局优化方法提高了混合马尔科夫模型 (MMM) 对聚类事件序列的性能,超过了预期最大化 (EM) 算法. 该技术用于根据治疗数据识别多发性硬化症 (MS) 患者的子组.

关键词:
改变疾病的疗法.全球优化全球优化马尔科夫连锁是什么意思医疗序列数据数据 医学序列数据混合模型的混合模型.多发性硬化症是多发性硬化症.

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