| Title | Development and Validation of a Machine Learning Model for Predicting Immune Checkpoint Inhibitor Efficacy in Advanced Gastric Cancer using Dynamic Changes in Peripheral Blood Clinlabomics Data |
|---|---|
| Description | RNA sequencing from advanced gastric cancer |
| Organism | Homo sapiens |
| Data Type | Expression Profiling |
| Data Accessibility | Controlled-access |
| BioProject | PRJCA037438 |
| Release Date | 2025-03-19 |
| Submitter | Lian Liu (lianliu@sdu.edu.cn) |
| Organization | Qilu Hospital, Shandong University |
| Submission Date | 2025-03-18 |
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 |
|---|---|---|---|---|---|---|
| OMIX009499-01 | RNA sequencing from advanced gastric cancer | 2 | Expression Profiling | 2.8 MB | zip | Unavailable |
| Paper Title | Journal Name | Publish Time | Accession | Citing Type |
|---|---|---|---|---|
| Development and validation of a machine learning model for predicting immune checkpoint inhibitor efficacy in advanced gastric cancer using dynamic changes in peripheral blood clinlabomics data: a retrospective multicenter cohort study | Gastric Cancer | 2025-09 | OMIX009499 | Deposit |