By comparing the estimated value with true value, we observed that the joint analysis framework will underestimate the shared percentage of genes but had an increasing trend when the shared number of genes increases.
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A novel joint analysis framework improves identification of differentially expressed genes in cross disease transcriptomic analysis.
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