Analysis of Micro Array Gene Expression Data Using Multi-Objective Binary Particle Swarm Optimization with Fuzzy Weighted Clustering (MOBPSO-FWC Technique
作者: Kalaiarasu M.Anitha J.
刊名: Journal of Medical Imaging and Health Informatics, 2020, Vol.10 (5), pp.1049-1056
来源数据库: American Scientific Publishers
DOI: 10.1166/jmihi.2020.3035
关键词: Fuzzy Weighted Clustering (FWCGene Expression DataMicroarray Gene ExpressionMulti-Objective Binary Particle Swarm Optimization
原始语种摘要: In the rapidly advancing field of genomics, microarray technologies have turned into a ground-breaking system on simultaneous monitoring the expression patterns of multiple genes under various arrangements of constraints. A fundamental errand is to propose diagnostic techniques to distinguishcluster of genes comparative expression designs and are initiated by comparative conditions. And furthermore, the relating investigation has issue is to cluster multi-condition gene expression data. To overcome these issues, the vast measure of data obtained by this technology, resort to clusteringmethods that distinguish clusters of genes of share similar expression profiles. The motivation of this work is to introduce a clustering method in microarray gene expression data analysis. Multi-Objective...
全文获取路径: 美国科学出版社 

  • Data 数据
  • feature 结构元件
  • dimensionality 量纲
  • propose 提议
  • clustering 聚类
  • errand 差使
  • simultaneous 同时的
  • employed 就业
  • existing 现行
  • advancing 掘进