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由自我学习驱动的详尽的双聚类生物医学数据的进化方法

Adrián Segura-Ortiz1, Adán José-García2, Laetitia Jourdan3

  • 1Dept. de Lenguajes y Ciencias de la Computación, ITIS Software, Universidad de Málaga, Málaga, 29071, Spain.

Computer methods and programs in biomedicine
|June 1, 2025
PubMed
概括

MOEBA-BIO引入了一种新的生物医学数据进化双重集群框架,克服了传统方法的局限性. 这种可适应,自我配置的方法提高了基因表达分析的准确性和功能丰富性.

关键词:
双聚类是指双聚类.生物医学领域生物医学领域进化算法是一种进化算法.基因的共同表达.知识注入知识注入.多个目标的多重目标.参数自配置参数自配置.

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