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

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...

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Podrobná bibliografie
Vydáno v:	Briefings in bioinformatics Ročník 23; číslo 4
Hlavní autoři:	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
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Oxford University Press 18.07.2022 Oxford Publishing Limited (England)
Témata:	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
ISSN:	1467-5463, 1477-4054, 1477-4054
On-line přístup:	Získat plný text
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