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 |
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Publications |
PubMed | 1 |
Other datasets |
GEO DataSets | 3 |
GEO Data DetailsParameter | Value |
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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 |
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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) |
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