Author

Jennifer Deng

Georgia Institute of TechnologyORCID 0009-0008-5239-5653Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Approach:benchmark study· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

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Ashlee N. Ford VersyptiD· 1 shared Cassie S. MitchelliD· 1 shared Krutika PatidariD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Ashlee N. Ford VersyptORCID

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1 paper

Recent·Most cited

BioinformaticsInternational Journal of Molecular SciencesPeer-reviewedApr 19, 2024

Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease

Krutika Patidar, Jennifer Deng, Cassie S. Mitchell, Ashlee N. Ford Versypt

This study uses text mining to identify key signaling pathways and genes involved in diabetic kidney disease, providing testable hypotheses for further research.

8 citations

statistical modelbenchmark study

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