Multi-omics data analysis for rare population inference using single-cell graph transformer
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## GMarsGT: Multi-omics data analysis for rare population inference using single-cell graph transformer obtained from a mouse model for XYZ disease. The data was derived from 3 experimental groups: a control group (n=10), a disease group (n=10), and a treatment group (n=10). ## Data Collection The data was collected using GEO Database. ## Data Format The data is stored as TSV file and MTX file where each row represents a gene and each column represents a sample. ## Variables - Gene IDs: Gene Symbols (e.g., MALAT1) - Sample IDs: Sample identifiers (e.g., AAACATGCAAATTCGT-1) - Expression level: Row gene expression level.
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Zenodo创建时间：
2023-07-18
