Name
Title | ||
|---|---|---|
TRaCE+: Ensemble inference of gene regulatory networks from transcriptional expression profiles of gene knock-out experiments. |
Abstract | ||
|---|---|---|
BackgroundThe inference of gene regulatory networks (GRNs) from transcriptional expression profiles is challenging, predominantly due to its underdetermined nature. One important consequence of underdetermination is the existence of many possible solutions to this inference. Our previously proposed ensemble inference algorithm TRaCE addressed this issue by inferring an ensemble of network directed graphs (digraphs) using differential gene expressions from gene knock-out (KO) experiments. However, TRaCE could not deal with the mode of the transcriptional regulations (activation or repression), an important feature of GRNs. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1186/s12859-016-1137-z | BMC Bioinformatics |
Keywords | Field | DocType |
Gene regulatory network, Network inference, Design of experiments, Signed directed graph, Transitive reduction | Gene Knockout Techniques,Transitive reduction,Gene,Expression (mathematics),Inference,Gene knockout,Computer science,Bioinformatics,Genetics,Gene regulatory network,DNA microarray | Journal |
Volume | Issue | ISSN |
17 | 1 | 1471-2105 |
Citations | PageRank | References |
3 | 0.36 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. M. Minhaz Ud-Dean | 1 | 7 | 1.12 |
| Sandra Heise | 2 | 9 | 1.61 |
| Steffen Klamt | 3 | 915 | 77.99 |
| Rudiyanto Gunawan | 4 | 153 | 15.50 |