输入 | GRB11 Correlation coefficient (r) pvalue NK cells resting 0.7 0.002 T cells naive 0.65 0.018 Macrophages M0 0.60 0.052 T cells memory activated 0.55 0.084 B cells naive 0.5 0.240 Mast cells resting 0.4 0.296 Neutrophils 0.3 0.489 T cells gamma delta 0.2 0.709 T cells CD4 memory resting 0.1 0.783 T cells regulatory Tregs -0.1 0.826 Dendritic cells resting -0.2 0.485 Plasma cells -0.22 0.267 Macrophages M2 -0.24 0.246 B cells memory -0.25 0.244 Monocytes -0.3 0.191 T cells CD8 -0.35 0.160 Mast cells activated -0.37 0.150 T cells follicular helper -0.4 0.148 Eosinophis -0.45 0.135 NK cells activated -0.48 0.088 Macrophages M1 -0.5 0.031 |
输出 |
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1)如何作图?
1,准备作图数据;2,用excel打开数据,调整为示例格式;3,将调整后的数据粘贴到输入框;4,选择参数;5,提交出图
2)为什么不出图?
对输入数据格式有严格要求。请观看输入框上面的视频介绍,并仔细阅读右侧说明,示例数据。
3)如何引用?
1500+篇google学术,1000+篇知网学术引用
请使用原生R包,Python包进行引用,或使用如下格式(推荐直接写网址)
Method: Heatmap was plotted by https://www.bioinformatics.com.cn (last accessed on 10 Jul 2023), an online platform for data analysis and visualization.
Acknowledgement: We thank Shanghai NewCore Biotechnology Co., Ltd. (https://www.bioinformatics.com.cn, last accessed on 10 Jul 2023) for providing data analysis and visualization support.