Prasad Tangirala Venkateswara, Ahson Syed Ismail
Department of Computer Science, Jamia Millia Islamia University, Jamia Nagar, New Delhi 110 025, India.
Bioinformation. 2006 May 3;1(4):141-5. doi: 10.6026/97320630001141.
Microarray gene expression data is used in various biological and medical investigations. Processing of gene expression data requires algorithms in data mining, process automation and knowledge discovery. Available data mining algorithms exploits various visualization techniques. Here, we describe the merits and demerits of various visualization parameters used in gene expression analysis.
微阵列基因表达数据用于各种生物学和医学研究。基因表达数据的处理需要数据挖掘、过程自动化和知识发现方面的算法。现有的数据挖掘算法利用了各种可视化技术。在此,我们描述了基因表达分析中使用的各种可视化参数的优缺点。