Name
Abstract | ||
|---|---|---|
We evaluated these approaches on simulated data for a repressilator, time-course data from past DREAM challenges, and a HeLa cell cycle dataset to show that they can produce accurate networks subject to the dynamics and assumptions of the time-lagged Ordered Lasso regression. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1186/s12859-018-2558-7 | BMC bioinformatics |
Keywords | Field | DocType |
Gene network reconstruction,Gene regulation,Lasso,Network inference,Penalized regression,Regularization,Time course data | Monotonic function,Data mining,Time point,Regression,Biology,Inference,Lasso (statistics),Repressilator,Regularization (mathematics),Gene regulatory network,Genetics | Journal |
Volume | Issue | ISSN |
19 | 1 | 1471-2105 |
Citations | PageRank | References |
1 | 0.35 | 19 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Phan Nguyen | 1 | 2 | 1.04 |
| Rosemary Braun | 2 | 788 | 72.61 |