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BAMarray 3.0.0

Bayesian analysis of variance for microarrays


Last Week downloads: 0
Total downloads: 96
  • Last Updated: Dec 20, 2011
  • License: Freeware Free
  • OS: Windows 7/Vista/XP
  • Requirements: No special requirements

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For BAMarray 3.0.0Publisher's description


BAMarray is a Photo & Image software developed by Hermann Wacker. After our trial and test, the software is proved to be official, secure and free. Here is the official description for BAMarray:

Edit by Brothersoft: BAMarray is an advanced and professional application that implements the BAM tehcnique. BAM is a new statistical technique for detecting differentially expressing genes from microarray data. At the heart of the method is a special type of signal detection technique that squashes down false signal while leaving real signal alone.

Standard methods look for genes by relying on elementary test statistics using data from one gene at a time (such as t-tests, or contrasts from ANOVA models). Gene lists are obtained by filtering statistics by attempting to control overall type-I error, or false discovery rate, or by filtering using a user specified cutoff level.

BAM takes a fundamentally different approach and focuses instead on estimating the differential effect of a gene by synthesizing information across all genes simultaneously. Rather than filtering genes, estimated effects are mapped into pattern types.

BAM's special signal detection mechanism shrinks to zero estimated effects for genes unlikely to be differentially expressing, and consequently patterns of Interest become highly interpretable using graphical visualization tools. Patterns of interest might be "hit-and-run" genes which affect a biologic system for only a certain amount of time, or genes involved throughout the process.

BAM applies to multigroup experimental designs, such as data collected over different stages of a disease. Other applications include gene expression time profiling for time-course data, outlier detection, invariant set normalization, gene Atlas transcriptome mappings, as well an many other problems.
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