Computational models have been playing a significant role for the
computer-based analysis of biological and biomedical data. Given
the recent availability of genomic sequences and microarray gene
expression data, there is an increasing demand for developing and
applying advanced computational techniques for exploring these
types of data such as functional interpretation of gene expression
data, deciphering of how genes and proteins work together in
pathways and networks, extracting and analysing phenotypic features
of mitotic cells for high throughput screening of novel
anti-mitotic drugs. Successful applications of advanced
computational algorithms to solving modern life-science problems
will make significant impacts on several important and promising
issues related to genomic medicine, molecular imaging, and the
scientific knowledge of the genetic basis of diseases.
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