xMarkerFinder

Data Upload

Submit data
Try sample data

Required data:

* Feature count of the training dataset

* Metadata of the training dataset

* Feature count of the test dataset

* Metadata of the test dataset

Optional data:

Feature abundance of non-target datasets

Metadata of non-target datasets

Must-Read Tips:

1.Please ensure files are in the tab-delimited text format (.txt). The abundance file should not have any row with all zero values.

2.Rows represent samples and columns represent feature/metadata information. Metadata file should at least contain the columns of “Group” and “Cohort”. For training/test dataset, we support binary classification metadata of the Group column. For multi-class data, we recommend converting it into multiple binary classifications for analysis. Corresponding feature count and metadata files should align with the same row names.

3.The training and test datasets should share a minimum of 50% common features for optimal performance.

4.To maintain consistency across all analyses, when uploading the three sets of datasets (training, test, and non-target), please ensure that the control group name remains uniform across them.

Please refer to our sample datasets for the appropriate data format in the Try sample data Page.

Submit

Disease Type	Analysis Type	Description
Colorectal cancer	Diagnostic biomarker identification	Metagenome data of colorectal cancer(CRC) patients and healthy controls from seven published cohorts. More details can be found from Liu et al (2022). For a clearer demonstration of xMarkerFinder, we've taken a subset from the original datasets. Download here(.zip)

Submit

File	File Name
*Feature count of the training dataset	example_train_abundance.txt
*Metadata of the training dataset	example_train_metadata.txt
*Feature count of the test dataset	example_test_abundance.txt
*Metadata of the test dataset	example_test_metadata.txt
Feature abundance of non-target datasets	example_other_abundance.txt
Metadata of non-target datasets	example_other_metadata.txt