|
| Status |
Public on Mar 31, 2023 |
| Title |
A Deep Learning based Efficacy Prediction System for Drug Discovery |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
This SuperSeries is composed of the SubSeries listed below.
|
| |
|
| Overall design |
Refer to individual Series
|
| |
|
| Citation(s) |
34140681 |
| |
| Submission date |
Jan 20, 2021 |
| Last update date |
Mar 31, 2023 |
| Contact name |
zhu jie |
| E-mail(s) |
1811210064@bjmu.edu.cn
|
| Phone |
18940822582
|
| Organization name |
北京大学医学部
|
| Street address |
北京市海淀区学院路38号
|
| City |
北京 |
| ZIP/Postal code |
100083 |
| Country |
China |
| |
|
| Platforms (1) |
| GPL13112 |
Illumina HiSeq 2000 (Mus musculus) |
|
| Samples (27)
|
|
| This SuperSeries is composed of the following SubSeries: |
| GSE165171 |
A Deep Learning based Efficacy Prediction System for Drug Discovery [Chikusetsusaponin IV] |
| GSE165173 |
A Deep Learning based Efficacy Prediction System for Drug Discovery [Perillen] |
| GSE165174 |
A Deep Learning based Efficacy Prediction System for Drug Discovery [Trametinib] |
|
| Relations |
| BioProject |
PRJNA693487 |
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