首页|基于Flask数据可视化的网页端显示方法研究

基于Flask数据可视化的网页端显示方法研究

扫码查看
随着人类基因组计划的完成和蛋白组学的迅猛发展,计算机药物辅助设计成了生物制药技术的重要环节.深度学习可用于探索药物-靶标的相互作用,可视化技术可有效进行数据可视化和数据分析.针对网页端不便于进行复杂计算和绘制复杂图形的问题,文章使用Flask框架将深度学习和各种可视化显示等复杂工作都交由Python执行,网页端只进行最简单的输入输出设计,极大地降低了网页数据可视化的编程难度,无需复杂的JavaScript技术即可在网页端展示各种可视化结果.
Study on web-side display method based on Flask data visualization
With the completion of the human genome project and the rapid advancement of proteomics,computer aided drug design has become a vital component in biopharmaceutical technology.Drug-target interactions are explored through deep learning,and visualization technology is effective for data visualization and data analysis.For the description given by web that there is difficult to run a complex calculation and draw intricate image,a solution is presented that Flask framework takes deep learning and all kinds of data-visualization into executing by Python,on the same time takes the easy input and output into web.It significantly reduces the programming difficulty of web data visualization,enabling the presentation of various visualization results on the web without advanced JavaScript skills.

data-visualizationFlaskmachine learningweb design

王晓雷、王钱庆、王鲜芳

展开 >

河南工学院 计算机科学与技术学院,河南 新乡 453003

河南省生产制造物联大数据工程技术研究中心,河南 新乡 453003

数据可视化 Flask 机器学习 网页设计

2024

无线互联科技
江苏省科学技术情报研究所

无线互联科技

影响因子:0.263
ISSN:1672-6944
年,卷(期):2024.21(15)