Cluster-analysis algorithms group objects on the ... but results indicate that most clusterings in microarray data sets are unlikely to reflect reproducible patterns or patterns in the overall ...

The field of DNA microarray data analysis is getting increasingly complicated as scientists develop new array technologies and analysis algorithms, yet accurate introductory information on the ...

or k-means cluster analysis (Panel C), which reveals underlying patterns that can help identify subgroups in the data set. In microarray analysis, typically genes are sought that show patterns of ...

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 ...

Refiner MS expands Expressionist to process and analyze metabolomic raw MS data separately and in conjunction with microarray data, improving efficiency and enhancing the biomarker discovery process ...

Results of the work -- which involves using cluster analysis to differentiate healthy controls, MS patients and MS patients being treated with inteferon-beta based on microarray data -- was presented ...

Refiner MS expands Expressionist to process and analyze metabolomic raw MS data separately and in conjunction with microarray data, improving efficiency and enhancing the biomarker discovery process.