SaVanT: a web-based tool for the sample-level visualization of molecular signatures in gene expression profiles
Molecular signatures are collections of genes characteristic of a particular cell type, tissue, disease, or perturbation. Signatures can also be used to interpret expression profiles generated from heterogeneous samples. Large collections of gene signatures have been previously developed and catalogued in the MSigDB database. In addition, several consortia and large-scale projects have systematically profiled broad collections of purified primary cells, molecular perturbations of cell types, and tissues from specific diseases, and the specificity and breadth of these datasets can be leveraged to create additional molecular signatures. However, to date there are few tools that allow the visualization of individual signatures across large numbers of expression profiles. Signature visualization of individual samples allows, for example, the identification of patient subcategories a priori on the basis of well-defined molecular signatures.
- Research Organization:
- Univ. of California, Los Angeles, CA (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC)
- Grant/Contract Number:
- DE–FC02–02ER63421; FC02-02ER63421
- OSTI ID:
- 1618561
- Alternate ID(s):
- OSTI ID: 1504905
- Journal Information:
- BMC Genomics, Journal Name: BMC Genomics Vol. 18 Journal Issue: 1; ISSN 1471-2164
- Publisher:
- Springer Science + Business MediaCopyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
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