A heat map is a well-received approach to illustrate gene expression data. It is an impressive visual exhibit that addresses explosive amounts of NGS data. It’s packed with closely set patches in shades of colors, pomping the gene expression data of multifarious high-throughput tryouts. Plotted by pheatmap package.
Input data instructions
Matrix input data. The first row is group names. The second row is sample names. The rest rows are values of each gene in each sample.
note: 1, if genes are not unique, mean values will be used. 2, Samples must unique. 3, Values of a row must NOT be the same (remove these rows before you plot).
If your data contain only 0s and 1s, just use two colors (same middle and higher colors).
Examples from papers
Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma
1) How to plot?
1, Prepare data
2, Open with excel, and change into the same format as the example
3, Copy and paste data into the input frame
4, Select parameters
5, Submit and download figure files
2) Why NO figure generated?
Script need strigent input format, please read the instructions and examples carefully.
3) How to cite?
162 papers cited us (Google Scholoar). You can cite the original package, or using the following format:
Heatmap was plotted by http://www.bioinformatics.com.cn, a free online platform for data analysis and visualization.