Name
Abstract | ||
|---|---|---|
A Summary: Simulated data are crucial for evaluating epistasis detection tools in genome-wide association studies. Existing simulators are limited, as they do not account for linkage disequilibrium (LD), support limited interaction models of single nucleotide polymorphisms (SNPs) and only dichotomous phenotypes or depend on proprietary software. In contrast, EpiGEN supports SNP interactions of arbitrary order, produces realistic LD patterns and generates both categorical and quantitative phenotypes. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1093/bioinformatics/btaa245 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 19 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Blumenthal | 1 | 24 | 6.26 |
| Lorenzo Viola | 2 | 0 | 0.34 |
| Markus List | 3 | 18 | 6.77 |
| Jan Baumbach | 4 | 148 | 22.11 |
| Paolo Tieri | 5 | 11 | 5.85 |
| Tim Kacprowski | 6 | 10 | 2.28 |