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Improved Outcomes Releases GeneLinker(TM) Gold and Platinum Version 4.6

Improved Outcomes Software (IOS) today announced the release of GeneLinker(TM) Gold and Platinum 4.6, new versions of the award-winning Gene Expression and Proteomics Analysis Software products. "The new releases are focused primarily on importing and analyzing protein biomarker data, a high priority for many of our customers. For example, we have integrated the Protein Biomarker Package into the latest versions of the products (previously the Protein Biomarker Package required a separate installation). We have also provided improved Proteomics Import Scripts and enabled the import of p-value spectrum data to allow exported p-values from ANOVA experiments to be re-imported, enabling novel visualization of channels that best distinguish between different classes (see Protein Biomarker/Proteomics Examples available on the website)" said Dr. Tom Radcliffe, Chief Scientific Officer of IOS.

"The feature set required for microarray analysis is becoming more mature so we have been concentrating more on proteomics data recently. For example Silicon Genetics new GeneSpring?7 includes Support Vector Machines (SVMs). SVMs have been available in GeneLinker Platinum for more than a year and a half. GeneLinker's committee of learners architecture (still not available in GeneSpring?7) provides significant advantages by preventing over-training and reducing the effect of bad samples by requiring consensus among multiple learners to make predictions." said Mark Chatterley, VP Bioinformatics at IOS. "Despite our new focus, we are still enhancing our products for gene expression data analysis. We've added additional data import scripts to handle Koadarray ratio and two-color data (including confidence values). Koadarray is very easy to use and produces better results than other leading array image analysis software programs." added VP Bioinformatics Mark Chatterley. IOS and Koada Technology will also soon be announcing details of co-marketing discount offers on GeneLinker and
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