Hiplot: a comprehensive and easy-to-use web service for boosting publication-ready biomedical data visualization

• Published in: Briefings in bioinformatics Vol. 23; no. 4
• Main Authors: Li, Jianfeng, Miao, Benben, Wang, Shixiang, Dong, Wei, Xu, Houshi, Si, Chenchen, Wang, Wei, Duan, Songqi, Lou, Jiacheng, Bao, Zhiwei, Zeng, Hailuan, Yang, Zengzeng, Cheng, Wenyan, Zhao, Fei, Zeng, Jianming, Liu, Xue-Song, Wu, Renxie, Shen, Yang, Chen, Zhu, Chen, Saijuan, Wang, Mingjie
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 18.07.2022; Oxford Publishing Limited (England)
• Subjects: Bioinformatics; Biomedical data; Clustering; Data mining; Data transfer (computers); Data visualization; Dimensional analysis; Health risks; Medical research; Parameters; Risk analysis; Risk factors; Scientific visualization; Statistical analysis; Survival analysis; Visualization; Web services; Websites; translational medicine; data visualization; web service; data mining; risk models

Abstract Complex biomedical data generated during clinical, omics and mechanism-based experiments have increasingly been exploited through cloud- and visualization-based data mining techniques. However, the scientific community still lacks an easy-to-use web service for the comprehensive visualizati...