Development of query strategies to identify a histologic lymphoma subtype in a large linked database system.

By M. Graiser, S. Moore, Rochelle Victor, Ashley Hilliard, L. Hill, Michael S. Keehan, Christopher R. Flowers. 2006

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Chipster: user-friendly analysis software for microarray and other high-throughput data (2011, unknown): “The aCGH data set was studied further by identifying commonly aberrated regions [33], which showed most frequent gains in 8q and 1q.”
Identifying functional modules in protein–protein interaction networks: an integrated exact approach (2008, unknown): “For normalization of gene expression within arrays we used the loess method, normalization between arrays was performed by using the scale method to adjust the log ratios to the same median absolute deviation (MAD) across arrays as detailed in Blenk et al. (2007).”
Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine (2015, background): “The development and enhancement of open-source standards has enabled cancer researchers to access up-to-date clinical data, genotypic data, and familial inheritance data for use in designing studies and informing decisions [20].”