
MacOSX | Genesis 1.7.5 | 29.46 MB
We have developed a platform independent Java package of tools to
simultaneously visualize and analyze a whole set of gene expression
experiments. After reading the data from flat files several graphical
representations of hybridizations can be generated, showing a matrix of
experiments and genes, where multiple experiments and genes can be
easily compared with each other.
Fluorescence ratios can be normalized in
several ways to gain a best possible representation of the data for
further statistical analysis. We have implemented hierarchical and non
hierarchical algorithms to identify similar expressed genes and
expression patterns, including: 1) hierarchical clustering, 2) k-means,
3) self organizing maps, 4) principal component analysis, and 5)
support vector machines. More than 10 different kinds of similarity
distance measurements have been implemented, ranging from simple
Pearson correlation to more sophisticated approaches like mutual
information. Moreover, it is possible to map gene expression data onto
chromosomal sequences. The flexibility, variety of analysis tools and
data visualizations, as well as the free availability to the research
community makes this software suite a valuable tool in future
functional genomic studies.
Genesis.1.7.5
http://uploading.com/files/X9U1FY31/Genesis.1.7.5_downarchive.com.zip.html
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http://rapidshare.com/files/217691876/Genesis.1.7.5_downarchive.com.zip
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