Background: The data from DNA microarrays are increasingly being used in order to understand effects of different conditions, exposures or diseases on the modulation of the expres...
Reuben Thomas, Luis de la Torre, Xiaoqing Chang, S...
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
This paper describes a web-based interactive framework for the analysis and visualization of gene expressions and protein structures. The formulation of the proposed framework was ...
Background: Microarray technology allows the simultaneous analysis of thousands of genes within a single experiment. Significance analyses of transcriptomic data ignore the gene d...
Yuna Blum, Guillaume Le Mignon, Sandrine Lagarrigu...
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...
Ki-Yeol Kim, Dong Hyuk Ki, Hei-Cheul Jeung, Hyun C...
Background: Cancer is a complex disease where various types of molecular aberrations drive the development and progression of malignancies. Large-scale screenings of multiple type...
Being able to clearly visualize clusters of genes provided by gene expressions over a set of samples is of high importance. It gives researchers the ability to create an image of t...
Abstract. Microarrays allow biologists to determine the gene expressions for tens of thousands of genes simultaneously, however due to biological processes, the resulting microarra...
Karl Fraser, Zidong Wang, Yongmin Li, Paul Kellam,...