GISPA
GISPA identifies gene sets that match user-defined molecular profiles by integrating multiple genomic data types to produce ranked gene sets and detect potential phenotype drivers.
Key Features:
- Integrated multi-omic analysis: Integrates multiple genomic data types rather than relying solely on intersecting separate analyses.
- User-defined molecular profiles: Allows specification of molecular profiles to guide identification of gene sets that conform to those profiles.
- Class comparison: Compares defined molecular profiles across user-specified classes to find class-specific gene set activity.
- Ranked gene-set output: Produces ranked gene sets aligned with the specified molecular profile to prioritize candidates such as phenotype drivers.
- SISPA sample-centric variant: Provides Sample Integrated Set Profile Analysis (SISPA) to identify groups of samples exhibiting the defined gene-set profile activity.
- Addresses IBI limitations: Designed to overcome limitations of "integrate by intersection" (IBI) approaches that reduce intersection size as more data types are added.
Scientific Applications:
- Gene-centric discovery: Identification and prioritization of genes with specific multi-dimensional molecular profiles as potential phenotype drivers.
- Sample stratification (SISPA): Identification of sample groups that exhibit defined gene-set profile activity for downstream clinical or biological analysis.
- Multiple myeloma studies: Applied to human multiple myeloma (MM) cell lines to recover known and novel targets.
- Clinical trial data analysis: Applied with SISPA to data from the MM coMMpass trial to identify clinically relevant sample groups with profile activity.
Methodology:
Explicitly contrasts with "integrate by intersection" (IBI) approaches that intersect results from separate analyses; enables definition of molecular profiles, comparison of those profiles across classes, integration of multiple genomic data types, generation of ranked gene sets, and a SISPA mode that identifies samples exhibiting the defined profile activity.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/9/2018
- Last Updated:
- 1/13/2019
Operations
Publications
Kowalski J, Dwivedi B, Newman S, Switchenko JM, Pauly R, Gutman DA, Arora J, Gandhi K, Ainslie K, Doho G, Qin Z, Moreno CS, Rossi MR, Vertino PM, Lonial S, Bernal-Mizrachi L, Boise LH. Gene integrated set profile analysis: a context-based approach for inferring biological endpoints. Nucleic Acids Research. 2016;44(7):e69-e69. doi:10.1093/nar/gkv1503. PMID:26826710. PMCID:PMC4838358.