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Figure 1

From: Application of text mining to develop AOP-based mucus hypersecretion genesets and confirmation with in vitro and clinical samples

Figure 1

(A) Mucus hypersecretion AOP and impaired mucocilliary clearance key events (AOP 148). (B) Text mining process. 1. A manual search was first conducted using KE terms to derive seed genes. 2. Pubmed was searched using a combination of seed genes and tobacco related key terms. 3. The resulting primary document corpus was then mined for gene symbols (4) 4. Gene pairs were used to construct network plots. 5. Gene pairs from articles with an impact factor equal or higher than 3.0 were retained together with the corresponding publication. Further manual searches were conducted to include the most recent literature. 6. Gene network plots and KE genesets were finalized based on the curated document corpus.

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