This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
| Accession | PRJNA167678; GEO: GSE38326 |
| Type | Umbrella project |
| Publications | Wang K et al., "Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma.", Hepatology, 2013 Aug;58(2):706-17 |
| Submission | Registration date: 30-May-2012
Oncology Research, Pfizer |
| Relevance | Superseries |
Project Data:
| Resource Name | Number
of Links |
|---|
| Publications |
| PubMed | 1 |
| Other datasets |
| GEO DataSets | 3 |
GEO Data Details| Parameter | Value |
|---|
| Data volume, Spots | 34212570 |
| Data volume, Processed Mbytes | 1935 |
| Data volume, Supplementary Mbytes | 19026 |
This project encompasses the following 2 sub-projects:
| Project Type | Number of Projects |
| Variation | 2 |
BioProject
accession | Organism | Title |
|---|
| PRJNA167716 | Homo sapiens | Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma [tumor] (Oncology Research, Pfizer) | | PRJNA167447 | Homo sapiens | Genomic landscape of copy number aberrations enables the identification of oncogenic drivers in hepatocellular carcinoma [cell line] (Oncology Research, Pfizer) |
|