This paper presents preliminary results and findings of a dynamic gene regulatory network analysis obtained from Saccharomyces cerevisiae (budding yeast)�...

Abstract—This paper presents preliminary results and find- ings of a dynamic gene regulatory network analysis obtained from Saccharomyces cerevisiae�...

Preliminary results and findings of a dynamic gene regulatory network analysis obtained from Saccharomyces cerevisiae (budding yeast) time-course DNA�...

During the last decade, many GRN inference algorithms that are based on microarrays data have been developed to unravel the complexity of gene regulation. One�...

A large-scale overexpression screen in Saccharomyces cerevisiae identifies previously uncharacterized cell cycle genes.

A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data. ,. Bioinformatics. ,. 2005. , vol. 21.

Sep 29, 2015 � We investigated the dynamics of a gene regulatory network controlling the cold shock response in budding yeast, Saccharomyces cerevisiae.

In the yeast Saccharomyces cerevisiae, several microarray studies have found that the mRNA levels of hundreds of genes change in response to hypoxia (ter Linde�...

The proposed method is evaluated using a synthetic benchmark testing data and a publicly available yeast Saccharomyces cerevisiae cell cycle microarray data.

In this review, we focus on data, methods, and analysis for reconstructing dynamic regulatory network models from high-throughput time-series data sets.