| Accession |
PRJCA012584 |
| Title |
Single-cell transcriptomics and spatial transcriptomics revealed Tumor microenviroment (TME) heterogeneity of colorectal cancer. |
| Relevance |
Medical |
| Data types |
Single cell sequencing
|
| Organisms |
Homo sapiens
|
| Description |
Single-cell transcriptomics and spatial transcriptomics revealed Tumor microenviroment (TME) heterogeneity of colorectal cancer. |
| Sample scope |
Single cell |
| Release date |
2023-09-14 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
|
|
Predicting Gene Spatial Expression and Cancer Prognosis: An Integrated Graph and Image Deep Learning Approach Based on HE Slides
|
bioRXiv
|
10.1101/2023.07.20.549824
|
2023
|
| 36523772
|
A high-efficiency differential expression method for cancer heterogeneity using large-scale single-cell RNA-sequencing data
|
Frontiers in Genetics
|
10.3389/fgene.2022.1063130
|
2022
|
|
|
Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system
|
Cell Reports Medicine
|
10.1016/j.xcrm.2024.101536
|
2024
|
|
|
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Science and Technology Commission of Shanghai Municipality
|
|
GWV-10.1-XK05
|
|
| Science and Technology Commission of Shanghai Municipality
|
|
20JC1410100
|
|
| Science and Technology Commission of Shanghai Municipality
|
|
21ZR1436300
|
|
| National Natural Science Foundation of China (NSFC)
|
|
12171318
|
|
|
|
| Submitter |
Zhangsheng
Yu (yuzhangsheng@sjtu.edu.cn)
|
| Organization |
School of Medicine, Shanghai Jiao Tong University |
| Submission date |
2022-10-18 |
