Abstract
Background: To date, numerous gene expression profiling (GEP) datasets have been accumulated, documenting transcriptomic patterns across a spectrum of disorders. Using psoriasis as a test case, we explored whether such existing data can be harnessed for identifying disease-relevant regulatory genes and corresponding drugs. Methods: We accessed publicly available psoriasis GEP data from 92 psoriasis samples and 82 controls (PMID: 24441097), which included 21,510 genes, of which 2528 were down- and 1049 up-regulated.
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