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Since diseases might be related with each other, systematically assessing their relationships could provide us novel insight into their mechanisms. One of the most important methods to study diseases' relationships is to calculate their phenotype similarity scores based on the text and clinical synopsis parts of their records in the OMIM database. However, as demonstrated in this paper, the similarity...
Selecting differentially expressed genes (DEGs) is one of the most important tasks in microarray applications. However, the sample sizes typically used in current cancer studies may only partially reflect the widely altered gene expressions in cancers. By analyzing three large cancer datasets, we show that, in each cancer, a wide range of functional modules are altered and have high disease classification...
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