Gene expression data clustering using a multiobjective symmetry based clustering technique.

导出 LinkOut

翻译打印收藏纠错

作者： Sriparna,Saha ^[1] ; Asif,Ekbal ; Kshitija,Gupta ; Sanghamitra,Bandyopadhyay

作者单位： Department of Computer Science and Engineering, Indian Institute of Technology, Patna, India. Electronic address: sriparna.saha@gmail.com. ^[1]

关键词 Archived multiobjective simulated annealing based technique (AMOSA)Automatic determination of number of clusters Clustering Gene expression data clustering Microarray data Multiobjective optimization (MOO)Symmetry

主题词算法(Algorithms);聚类分析(Cluster Analysis);计算生物学(Computational Biology);数据库, 遗传学(Databases, Genetic);基因表达谱(Gene Expression Profiling);寡核苷酸序列分析(Oligonucleotide Array Sequence Analysis);结果可重复性(Reproducibility of Results)

DOI 10.1016/j.compbiomed.2013.07.021

PMID 24209942

发布时间 2022-03-18

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交

浏览28

Computers in biology and medicine

2013年43卷11期

1965-77页

相似文献

中文期刊
外文期刊
学位论文
会议论文

检索历史清除

Gene expression data clustering using a multiobjective symmetry based clustering technique.

Computers in biology and medicine

相似文献

Computers in biology and medicine

相关期刊

参考文献：
指定格式：	NoteExpress EndNote RefWorks NoteFirst

检索历史 清除

Gene expression data clustering using a multiobjective symmetry based clustering technique.

Computers in biology and medicine

相似文献

Computers in biology and medicine

相关期刊

检索历史清除