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Bringing Statistics to Biologists - New Genedata Analyst Launches at Society of Toxicology 49th Annual Meeting
Date:3/8/2010

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  • Rigorous Statistics provide established general-purpose tools such as ANOVA, linear models, Principal Components and Partial Least Square analysis, Self-Organizing Maps (SOM) and clustering methods together with advanced machine learning algorithms (LDA, SVM, KNN) for classification and prediction and tools for data normalization, transformation and imputation.
  • Open Architecture designed as a client-server application can support up to hundreds of users on standard hardware. Open technologies provide low TCO through public APIs that enable integration with in-house data warehouses, public data repositories, and third-party applications.
  • "Through years of working with our customers in pharmaceutical and life science research, we've seen that separate tools for data mining and statistical analysis combined with the inability to integrate data from different sources creates costly and time-consuming inefficiencies and bottlenecks," said Dr. Othmar Pfannes, CEO of Genedata. "Genedata Analyst addresses these challenges by giving our customers a new data analysis platform that combines validated statistics, proven user workflows, and established visualization technologies. We believe Genedata Analyst is truly game changing for life science research as it delivers a data mining platform that enables all user groups to perform powerful data integration and aggregation."

    (Note to Editors: Mark your calendars for the Genedata Analyst product session at SOT on Ma
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    Source: PRWeb
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