Name
Title | ||
|---|---|---|
Discovering Temporal Patterns of Differential Gene Expression in Microarray Time Series |
Abstract | ||
|---|---|---|
A wealth of time series of microarray measurements have become available over recent years. Several two-sample tests for detecting differential gene expression in these time series have been defined, but they can only answer the question whether a gene is differentially expressed across the whole time series, not in which intervals it is differentially expressed. In this article, we propose a Gaussian process based approach for studying these dynamics of differential gene expression. In experiments on Ara- bidopsis thaliana gene expression levels, our novel technique helps us to uncover that the family of WRKY transcription factors appears to be involved in the early response to infection by a fungal pathogen. |
Year | Venue | Keywords |
|---|---|---|
2009 | GCB | transcription factor,time series,gaussian process,gene expression |
Field | DocType | Citations |
Gene,Microarray,Biology,Arabidopsis thaliana,Gene expression,Bioinformatics,Genetics,WRKY protein domain,Gene expression profiling,Transcription factor,Pathogen | Conference | 1 |
PageRank | References | Authors |
0.39 | 6 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliver Stegle | 1 | 200 | 20.95 |
| denby kj wild dl mchattie s mead a ghahramani z | 2 | 1 | 0.39 |
| Karsten M. Borgwardt | 3 | 2799 | 155.36 |
| grosse | 4 | 1 | 0.39 |
| sabine neumann | 5 | 1 | 0.39 |
| stefan posch | 6 | 1 | 0.39 |
| Falk Schreiber | 7 | 1048 | 80.87 |
| Peter F. Stadler | 8 | 256 | 62.77 |