| Title | Spatial transcriptomics revealed Tumor microenviroment (TME) heterogeneity of colorectal cancer. |
|---|---|
| Description | Spatial transcriptomics revealed Tumor microenviroment (TME) heterogeneity of colorectal cancer. The dataset contains spatial transcriptomics data from 6 colorectal cancer patients. |
| Organism | Homo sapiens |
| Data Type | Other Type of Genomic Data |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA012584 |
| Release Date | 2024-11-16 |
| Submitter | Zhangsheng Yu (yuzhangsheng@sjtu.edu.cn) |
| Organization | School of Medicine, Shanghai Jiao Tong University |
| Submission Date | 2022-12-26 |
The data cannot be downloaded as it has not yet been registered in the Human Genetic Resource Management Platform of MOST.
| File ID | File Title | Number/Samples | File Type | File Size | File Suffix | Download |
|---|---|---|---|---|---|---|
| OMIX002683-01 | CRC-M1037 | 1 | Other Type of Genomic Data | 80.1 MB | zip | Unavailable |
| OMIX002683-02 | CRC-M1042 | 1 | Other Type of Genomic Data | 91.4 MB | zip | Unavailable |
| OMIX002683-03 | CRC-S105866 | 1 | Other Type of Genomic Data | 37.8 MB | zip | Unavailable |
| OMIX002683-04 | CRC-S1055979 | 1 | Other Type of Genomic Data | 39.5 MB | zip | Unavailable |
| OMIX002683-05 | CRC-S1056017 | 1 | Other Type of Genomic Data | 38.0 MB | zip | Unavailable |
| OMIX002683-06 | CRC-S1061143 | 1 | Other Type of Genomic Data | 29.5 MB | zip | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system | Cell Reports Medicine | 2024-05 | OMIX002683 | Deposit |
| Predicting Gene Spatial Expression and Cancer Prognosis: An Integrated Graph and Image Deep Learning Approach Based on HE Slides | bioRXiv | 2023-07 | OMIX002683 | Deposit |