The sample file format for uploading is as follows.
sample data
Meta data
The second column is group information, named 'Group'.Random Forest Prediction Based on Collected Data
Upload sample data
You need to upload one data files including sample data and metadata .
Such as
HSL003 | HSL004 | HSL006 | HSL010 | HSL013 | HSL015 | HSL016 | HSL018 | HSL019 | HSL020 | HSL021 | HSL022 | HSL023 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1054 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
24838 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
81529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1.335144 | 1.273018 | 1.140459 | 1.400494 | 0.875855 |
111891 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.060345 | 0.054933 | 0.004742 | 0.017841 | 0.006933 |
131660 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
136924 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011855 | 0 | 0 |
145813 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.463906 | 0.561274 | 0.590383 | 0.666052 | 0.556942 |
150404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.78072 | 1.43543 | 1.16654 | 1.135857 | 0.95905 |
153978 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003772 | 0 | 0 | 0 | 0 |
155145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052802 | 0.152858 | 0.021339 | 0.053522 | 0.078573 |
158804 | 0 | 0.004323 | 0 | 0 | 0.005411 | 0 | 0 | 0 | 0 | 0.002388 | 0 | 0 | 0 |
160204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015086 | 0.028661 | 0.082986 | 0.035681 | 0.018488 |
ID | Group |
---|---|
HSL003 | N |
HSL004 | HSL |
HSL006 | HSL |
HSL010 | HSL |
HSL013 | HSL |
HSL015 | HSL |
HSL016 | HSL |
HSL018 | HSL |
HSL019 | HSL |
HSL020 | HSL |
HSL021 | HSL |
HSL022 | HSL |
HSL023 | HSL |
HSL024 | HSL |
Paying attention, please ,you need to upload the file in the format of the sample data,first column is 'ID',second column is 'Group'.
Display interface
- First shows the error matrix of the model built from the collected data
- Second, the prediction matrix for the uploaded data
- The abundance map based on the predicted results and the real situation of the samples, where red represents the correctly predicted samples, and blue represents the wrongly predicted samples
About SAInvasion
MicrobioSee, a web-based community microbial metagenome visualization toolkit developed in this study can be used on all operating system platforms that support modern browsers, and MicrobioSee provides data mining and visualization services for the field of microbial integration research.
The detail of MicrobioSee at here.
Contact us
- Chengjian Jiang
- Guangxi Research Center for Microbial and Enzyme Engineering Technology
- College of Life Science and Technology, Guangxi University, Nanning 530004, China.
- E-mail: jiangc05252gxust.edu.cn
- E-mail: jinhui.li2slu.edu
{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)