ArrayNorm A platform-independent Java tool designed especially the normalization and the statistical analysis of the micro array-experimental data
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analyze statistics analyze statistics statistical analysis analyze histogram

ArrayNorm Description

A platform-independent Java tool designed especially the normalization and the statistical analysis of the micro array-experimental data ArrayNorm provides its users modules for visualization like scatterplot, boxplot or histogram but also tools for normalization and analysis. The user can upload any number of microarray-datasets, resulting from one experiment. According to experimental design and relationships between the microarrays, the data is organized for later analysis and replicate handling. ArrayNorm features a variety of normalization methods, such as 'global median', 'dyeswap-pairs normalization', 'lowess fitting' and 'normalization using control-spots'. Differentially expressed genes can be found using foldchange-detection or statistical tests (t-test). All DE genes can be printed to a textfile, allowing further analysis with other software-tools (like Genesis). Requirements: · Java What's New in This Release: · Experiment handling now possible · con Support for import file has been improved · icon Down- and upload directly from and to MARS

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