FigureYa: A Standardized Visualization Framework for Enhancing Biomedical Data Interpretation and Research Efficiency (IMAGE)
Caption
This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output format (inner ring). Major research categories include single‐cell analysis (pink), machine learning (yellow), genomic analysis (green), immunological analysis (light blue), expression profiling (dark blue), and survival analysis (purple). Each segment displays the proportion of tools within each category. This multi‐dimensional classification system enables researchers to efficiently identify appropriate tools based on specific research objectives and data characteristics.
Credit
t: Xiaofan Lu, Kailai Li, Zongcheng Li, Anqi Lin, Long Zhao, Rongfang Shen, Zhougeng Xu, Jianing Gao, Dekang Lv, Yasi Zhang, Taojun Ye, Junyi Shen, Yijing Chen, Hui Huang, Zhaodong Hao, Dongqiang Zeng, Haitao Wang, Shipeng Guo, Wen Wang, Yi Xiong, Yin Li, Hao Li, Jingze Gao, Qian Liu, Bin Wei, Jiawei Shi, Shuwen Cheng, Guoqi Li, Yuan Tang, Enyu Lin, Houshi Xu, Guoshuang Feng, Yangzhige He, Yu Sun, Xiaojian Liu, Yufang Wang, Wenxin Song, Jinen Song, Saisai Tian, Ya Zhang, Jie Zhang, Zhongtian Xu, Chengli Song, Yingying Zhang, Hao Wu, Chunhui Gao, Erqiang Hu, Chen Yang, Jiacheng Lou, Di Wang, Xuanyu Wang, Peng Luo, Guangchuang Yu, Ying Ge
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License
CC BY