This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
| Accession | PRJNA291766; GEO: GSE71669 |
| Type | Umbrella project |
| Publications | Pineda S et al., "Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer.", PLoS Genet, 2015 Dec;11(12):e1005689 |
| Submission | Registration date: 3-Aug-2015
CNIO |
| 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 | 2733656 |
| Data volume, Processed Mbytes | 61 |
| Data volume, Supplementary Mbytes | 245 |
This project encompasses the following 2 sub-projects:
| Project Type | Number of Projects |
| Epigenomics | 1 |
BioProject
accession | Organism | Title |
|---|
| PRJNA291770 | Homo sapiens | Integration analysis of three omics data using penalized regression methods: An application to bladder cancer (Methylation) (CNIO) |
|
| Transcriptome or Gene expression | 1 |
BioProject
accession | Organism | Title |
|---|
| PRJNA291765 | Homo sapiens | Integration analysis of three omics data using penalized regression methods: An application to bladder cancer (expression) (CNIO) |
|