| Title | Integrating diverse genomic data using gene sets. |
| Publication Type | Journal Article |
| Year of Publication | 2011 |
| Authors | Tyekucheva S, Marchionni L, Karchin R, Parmigiani G |
| Journal | Genome Biol |
| Volume | 12 |
| Issue | 10 |
| Pagination | R105 |
| Date Published | 2011 Oct 21 |
| ISSN | 1474-760X |
| Keywords | Area Under Curve, Chromosomes, Human, Computational Biology, Computer Simulation, Databases, Genetic, Gene Dosage, Gene Expression Regulation, Neoplastic, Genes, Neoplasm, Genes, Synthetic, Genomics, Glioblastoma, Humans, Models, Genetic, ROC Curve, Sensitivity and Specificity, Software |
| Abstract | We introduce and evaluate data analysis methods to interpret simultaneous measurement of multiple genomic features made on the same biological samples. Our tools use gene sets to provide an interpretable common scale for diverse genomic information. We show we can detect genetic effects, although they may act through different mechanisms in different samples, and show we can discover and validate important disease-related gene sets that would not be discovered by analyzing each data type individually. |
| DOI | 10.1186/gb-2011-12-10-r105 |
| Alternate Journal | Genome Biol |
| PubMed ID | 22018358 |
| Grant List | CA135877 / CA / NCI NIH HHS / United States P30CA006973 / CA / NCI NIH HHS / United States |
Related Lab:
Related Faculty:
Luigi Marchionni, M.D., Ph.D.