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The impact of microarray technology on biology will depend on computational methods of data analysis. A supervised computer-learning method using support vector machines predicts gene function ...
Microarray studies aim at identifying homogeneous subtypes of cancer patients, searching for differentially expressed genes in tumours with different characteristics, or predicting the prognosis ...
In microarray gene expression experiments, several diverse conditions in each experiment (e.g., time, doses, replicates) increase the data points from tens of thousands of measurements for a ...
Daniel R. Rhodes, Jianjun Yu, K. Shanker, Nandan Deshpande, Radhika Varambally, Debashis Ghosh, Terrence Barrette, Akhilesh Pandey, Arul M. Chinnaiyan, Patrick O. Brown, Large-Scale Meta-Analysis of ...
The Microarray Gene Expression Data Society, also known as MGED, has taken the lead in establishing standards, which are starting to make data sharing easier.
Courtesy of CombiMatrix The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading ...
Microarrays are wonderful tools for seeing global patterns of gene expression under different conditions. Plenty of software exists to make sense of the data, but what if you want to correlate ...
We consider the choice of an optimal sample size for multiple-comparison problems. The motivating application is the choice of the number of microarray experiments to be carried out when learning ...
A multidisciplinary team of pharmaceutics and computer-science researchers at the University at Buffalo, one of very few teams in the nation applying DNA microarray technology in studies of multiple ...
Patients and Methods Microarray analysis was performed on 14 normal oral epithelium and 71 HNSCCs from patients with outcome data. Spectral clustering (SC) analysis of the data set identified multiple ...
Much of the promise of this genomic research relies on the comparison of microarray data generated in multiple facilities. However, the comparability of gene expression results is affected by a ...