This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
| Accession | PRJNA284909; GEO: GSE69214 |
| Type | Umbrella project |
| Publications | Mitrofanova A et al., "Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.", Cell Rep, 2015 Sep 29;12(12):2060-71 |
| Submission | Registration date: 26-May-2015
Rutgers University |
| Relevance | Superseries |
Project Data:
| Resource Name | Number
of Links |
|---|
| Publications |
| PubMed | 1 |
| PMC | 1 |
| Other datasets |
| GEO DataSets | 3 |
GEO Data Details| Parameter | Value |
|---|
| Data volume, Spots | 1583764 |
| Data volume, Processed Mbytes | 29 |
| Data volume, Supplementary Mbytes | 7 |
Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models encompasses the following 2 sub-projects:
| Project Type | Number of Projects |
| Transcriptome or Gene expression | 2 |
BioProject
accession | Organism | Title |
|---|
| PRJNA284912 | Mus musculus | Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (II) (Rutgers University) | | PRJNA284913 | Mus musculus | Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (I) (Rutgers University) |
|