Name
Title | ||
|---|---|---|
Integrative analysis of time course microarray data and DNA sequence data via log-linear models for identifying dynamic transcriptional regulatory networks. |
Abstract | ||
|---|---|---|
Since eukaryotic transcription is regulated by sets of Transcription Factors (TFs) having various transcriptional time delays, identification of temporal combinations of activated TFs is important to reconstruct Transcriptional Regulatory Networks (TRNs). Our methods combine time course microarray data, information on physical binding between the TFs and their targets and the regulatory sequences of genes using a log-linear model to reconstruct dynamic functional TRNs of the yeast cell cycle and human apoptosis. In conclusion, our results suggest that the proposed dynamic motif search method is more effective in reconstructing TRNs than the static motif search method. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1504/IJDMB.2013.050975 | IJDMB |
Keywords | DocType | Volume |
static motif search method,proposed dynamic motif search,transcription factors,various transcriptional time delay,eukaryotic transcription,time course microarray data,dna sequence data,human apoptosis,log-linear model,dynamic transcriptional regulatory network,activated tfs,integrative analysis,dynamic functional trns,transcriptional regulatory networks | Journal | 7 |
Issue | ISSN | Citations |
1 | 1748-5673 | 0 |
PageRank | References | Authors |
0.34 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyung-Seok Choi | 1 | 11 | 2.01 |
| Youngchul Kim | 2 | 92 | 21.26 |
| Kwang-Hyun Cho | 3 | 511 | 53.57 |
| Taesung Park | 4 | 490 | 64.41 |