Name
Title | ||
|---|---|---|
WISH-R- a fast and efficient tool for construction of epistatic networks for complex traits and diseases. |
Abstract | ||
|---|---|---|
The WISH-R package is an efficient implementation for analyzing genome-wide epistasis for complex diseases and traits. It includes methods and strategies for analyzing epistasis from initial data filtering until final data interpretation. WISH offers a new way to analyze genomic data by combining epistasis and network based analysis in one method and provides options for visualizations. This alleviates many of the existing hurdles in the analysis of genomic interactions. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2291-2 | BMC Bioinformatics |
Keywords | Field | DocType |
Complex traits,Epistasis,GWAS,Networks,WGCNA | Biological data,Bottleneck,Biology,Epistasis,Genome-wide association study,Genomics,Genetic association,Computational biology,Genetics,Gene regulatory network,SNP | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victor A. O. Carmelo | 1 | 0 | 0.34 |
| Lisette J. A. Kogelman | 2 | 7 | 0.85 |
| Majbritt Busk Madsen | 3 | 0 | 0.34 |
| Haja N. Kadarmideen | 4 | 38 | 3.15 |