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GenEx 5.0.1


  • The optimum number of subject, sample, RT, and qPCR replicates can be estimated with the Experimental Design Optimization. The calculations are based on data from either a pilot study or estimated variance contributions for each step. The variance for the design is minimized while keeping under the given budget.



  • Analysis of variance for one and two factors (One-way ANOVA, Two-way ANOVA) has been implemented to estimate significant differences between more than two groups. Both include the post hoc tests Tukey-Kramer procedure, Bonferroni's test, and Dunnett's test.



  • Nested ANOVA is used to indicate significant differences of between more than two groups in a nested experimental design, but can also be used to investigate the variance contribution for each level in the design.



  • Support vector machine (SVM) is a new method found under the Networks analysis tab in the Enterprise package. It is a classifying method that, based on already classified samples, builds a model that is can be used to classify unknown samples.



  • Partial least square (PLS) is a calibrating method that is found under the Regression analysis tab in the Enterprise package. Based on known samples, it builds a model that calibrates unknown samples.




  • Artificial neural network (ANN) has a new simple interface, but still offers the same options under advanced settings.



  • The entire help file have been updated with new texts and pictures.





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    PARTNERS AND SUPPORTED INSTRUMENTS


    Tataa Exiqon Agilent Applied Biosystems
    Bioeps Bio Rad Eppendorf Fluidigm
    Qiagen Roche Sigma Symposium