|
| Status |
Public on Apr 29, 2024 |
| Title |
Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer (RNA-Seq) |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
We performed RNA-seq in a set of 13 gastric cancer cell lines to detect differential activation of regulatory programs.
|
| |
|
| Overall design |
RNA-seq profiling of 13 gastric cancer cell lines.
|
| |
|
| Contributor(s) |
Beer MA, Ho ST, Tan P |
| Citation missing |
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| Submission date |
Apr 29, 2024 |
| Last update date |
May 01, 2024 |
| Contact name |
Michael A Beer |
| E-mail(s) |
mbeer@jhu.edu
|
| Organization name |
Johns Hopkins University
|
| Department |
Biomedical Engineering and Genetic Medicine
|
| Street address |
733 N. Broadway
|
| City |
Baltimore |
| State/province |
MD |
| ZIP/Postal code |
21205 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL11154 |
Illumina HiSeq 2000 (Homo sapiens) |
|
| Samples (13)
|
|
| Relations |
| BioProject |
PRJNA1106027 |
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