散点图
绘图(图形)
维恩图
计算机科学
可视化
绘图
数据可视化
转录组
大数据
数据挖掘
计算机图形学(图像)
生物
机器学习
数学
统计
数学教育
基因
基因表达
生物化学
作者
Xiaoting Pei,Xinwei Jiao,Zhiguang Ping
出处
期刊:PubMed
[National Institutes of Health]
日期:2020-05-06
卷期号:54 (5): 586-592
被引量:1
标识
DOI:10.3760/cma.j.cn112150-20191226-00959
摘要
As an important method to study the phenotype and function of organisms, transcriptome has become one of hot topics in current research. The transcriptomics research usually accompanies with massive data. With the increase of the amount of data, the rules and features hidden in it are not easy to be found. Transforming big data into visual graphics is the most undoubtedly intuitive way to display the hidden information of big data. Several graphs commonly used in transcriptome study were introduced in this paper, such as Venn diagram, heat map, principal component analysis scatter plot, enrichment analysis plot, and time series analysis plot, in order to help readers to choose suitable graphics in future studies.
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