This SuperSeries is composed of the SubSeries listed below.
Overall design: Refer to individual Series
| Accession | PRJNA291920; GEO: GSE71725 |
| Type | Umbrella project |
| Publications | - Pirkl M et al., "Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.", Bioinformatics, 2016 Mar 15;32(6):893-900
- Schrader A et al., "Identification of a new gene regulatory circuit involving B cell receptor activated signaling using a combined analysis of experimental, clinical and global gene expression data.", Oncotarget, 2016 Jul 26;7(30):47061-47081
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| Submission | Registration date: 4-Aug-2015
Statistical Bioinformatics, Institute of Functional Genomics, University of Regensburg |
| Relevance | Superseries |
Project Data:
| Resource Name | Number
of Links |
|---|
| Publications |
| PubMed | 2 |
| PMC | 2 |
| Other datasets |
| GEO DataSets | 4 |
GEO Data Details| Parameter | Value |
|---|
| Data volume, Spots | 2824971 |
| Data volume, Processed Mbytes | 43 |
| Data volume, Supplementary Mbytes | 629 |
Identification of a new gene regulatory circuit involving B cell receptor activated signaling using a combined analysis of experimental, clinical and global gene expression data encompasses the following 3 sub-projects:
| Project Type | Number of Projects |
| Transcriptome or Gene expression | 3 |
BioProject
accession | Organism | Title |
|---|
| PRJNA291921 | Homo sapiens | Identification of a new gene regulatory circuit involving B cell receptor activated signaling using a combined analysis of experimental, clinical and global gene expression data [timeSeries] (Statistical Bioinformatics,...) | | PRJNA291922 | Homo sapiens | Identification of a new gene regulatory circuit involving B cell receptor activated signaling using a combined analysis of experimental, clinical and global gene expression data [tonsil] (Statistical Bioinformatics,...) | | PRJNA283801 | Homo sapiens | Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models (Statistical Bioinformatics,...) |
|