Gene Expression Data Analysis Suite (GEDAS)
Gene ontology
It becomes quite important to trace back the
details of various genes covering parameters such as gene description,
sequence, etc. for the clustered data subsets. Once these parameters have
been selected in the beginning of an experiment, it becomes possible to obtain
these details during clustering and classification process through gene
ontology. Presently, this software offers limited ontological support,
whose screen shot has been given in following figure.
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Figure: The gene ontology view is
not a true visualization technique, but a listing of gene number together
with their details like gene names and function, if available in the dataset.
It is helpful to further access or understanding the function of genes in a
particular cluster |
