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NOV 14, 2019 9:00 AM PST

Discovering latent knowledge by applying machine learning techniques to QIAGEN resources

Presented at: Clinical Diagnostics & Research 2019
Sponsored by: QIAGEN
C.E. Credits: P.A.C.E. CE ｜ Florida CE
Speaker
  • Jeff Green
    Staff Software Engineer, Qiagen
    Biography
      Jeff Green is the primary architect for Ingenuity Pathway Analysis (IPA) and leads a cross-functional team at QIAGEN to apply machine learning to curated content.
    Abstract

    Applying machine learning methods to structured, expert-curated content from scientific literature is a powerful way to discover latent knowledge. Building on the QIAGEN Knowledge Base, we use this approach to infer new disease-gene associations, build network-based disease models, and interpret gene expression data in order to create actionable hypotheses.

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