Note: input data format must match the example on the right, tab-seperated
1, data from excel, copy and paste data into the input frame
2, data from txt, must tab-seperated, copy and paste data into the input frame

Required
input data:


Optional
figure width:
figure height:
ticks fontsize:
axis label fontsize:
sample name fontsize:
point size:
legend group name fontsize:

X axis min:
X axis max:
Y axis min:
Y axis max:

Colors
color 1:
color 2:
color 3:
color 4:

Label name
yes no

Principal components analysis (PCA)

Introduction
PCA is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set.
Input data instructions Matrix input data. The first row is group names, the second row is sample names, and the other rows are expression values. PC1, PC2 in the output figure are the first, and the second principal components (degree of explainary of latent variables to differences). Please refer to: http://pbil.univ-lyon1.fr/ade4/ade4-html/dudi.pca.html
Examples from papers gene expression PCA
Input
group	A	A	A	B	B	B
sample	A1	A2	A3	B1	B2	B3
INPP5K	4.14	3.75	1.9	0.55	1.87	5.12
MYBBP1A	4.19	5.12	2.35	3.08	1.22	2.8
RPA1	4.29	2.8	3.21	0.95	1.22	2.8
ENAM	5.84	2.8	4.01	0.95	4.96	1.83
UBE2G1	4.58	3.11	3.4	1.51	3.74	1.19
EEFSEC	6.1	4.51	4.96	1.73	5.84	3.31
TBC1D14	3.91	3.19	3.74	2.91	2.35	1.19
TMEM128	7.53	7.1	5.84	5.03	2.66	4.59
COQ3	2.75	1.39	2.35	1.73	1.22	2.89
PNISR	3.85	3.43	2.97	0.95	1.22	1.83
POPDC3	3.49	3.81	1.25	1.92	1.22	1.25
SEC61G	3.97	4.24	3.88	3.43	2.66	3.88
LANCL2	6.5	3.87	5.61	3.43	3.96	5.61
FIGNL1	5.99	4.16	5.02	1.51	1.87	2.27
DDC	1.19	3.57	2.35	0.55	1.87	1.19
FTHL17	1.54	3.28	4.01	2.5	1.22	1.19
Output

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?
203 papers cited SXplot (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.

4) FAQs