Name
Title | ||
|---|---|---|
Integration of multi-omics data for prediction of phenotypic traits using random forest. |
Abstract | ||
|---|---|---|
In this study, we made a strategy for selecting and integrating multiple ~ omics data using random forest method and selected representative individual peaks for networks based on eQTL, mQTL or pQTL information. Network analysis was done to interpret how a particular trait is associated with gene expression, metabolite and protein data. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-1043-4 | BMC Bioinformatics |
Keywords | Field | DocType |
Data integration,Genetical genomics,Networks,Random forest | Data integration,Population,Data set,Quantitative trait locus,Biology,Trait,Genomics,Omics,Bioinformatics,Genetics,Phenotypic trait | Journal |
Volume | Issue | ISSN |
17 | S-5 | 1471-2105 |
Citations | PageRank | References |
2 | 0.56 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Animesh Acharjee | 1 | 4 | 0.95 |
| Bjorn Kloosterman | 2 | 2 | 0.56 |
| Richard G. F. Visser | 3 | 9 | 3.50 |
| Chris A. Maliepaard | 4 | 12 | 2.98 |