|
| Status |
Public on Apr 23, 2024 |
| Title |
Leveraging Single-Cell Sequencing to Classify and Characterize Tumor Subgroups in Bulk RNA-Sequencing Data |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
We develop an algorithm for the integration of single-cell sequencing, RNA-inferred CNVs, and bulk transcriptomic sequencing to improve molecular classification of tumor sub-groups.
|
| |
|
| Overall design |
Human meningioma
|
| |
|
| Contributor(s) |
Serin Harmanci A, Patel A |
| Citation missing |
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| |
| Submission date |
Apr 23, 2024 |
| Last update date |
Apr 26, 2024 |
| Contact name |
Akdes Serin Harmanci |
| E-mail(s) |
akdes.serinharmanci@bcm.edu
|
| Organization name |
Baylor College of Medicine
|
| Street address |
One Baylor Plaza
|
| City |
Houston |
| State/province |
TX |
| ZIP/Postal code |
77030 |
| Country |
USA |
| |
|
| Platforms (1) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
|
| Samples (167)
|
|
| Relations |
| BioProject |
PRJNA1103795 |
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