-
The development
of original algorithms and toolsets for processing massive gene
expression data
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The strong focus
on the biological interpretation, validation and even testing of
the results obtained
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Dealing with
large real-life genetic networks involved in complex diseases
such as cancer and type 2 diabetes
-
The integration
of multiple bioinformatics resources in the processes of
analysis and data mining
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The design of
the experimental study of molecular markers
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Determining
the phenotypic manifestation of the studied genes
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Performing AI/LOH
and MSI analysis on the 1p and 5q chromosomes
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Demonstrating
the utility of the proposed methods.
