NOV 14, 2019 9:00 AM PST

Discovering latent knowledge by applying machine learning techniques to QIAGEN resources

Sponsored by: QIAGEN
C.E. Credits: P.A.C.E. CE Florida CE
Speaker
  • 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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    Discovering latent knowledge by applying machine learning techniques to QIAGEN resources

    Sponsored by: QIAGEN
    C.E. Credits: P.A.C.E. CE Florida CE

    Specialty

    Molecular Diagnostics

    Molecular Biology

    Dna

    Biomarkers

    Immunology

    Cell Biology

    Genomics

    Biotechnology

    Bioinformatics

    Antibodies

    Laboratory Testing

    Gene Expression

    Drug Discovery

    Clinical Research

    Gene Sequencing

    Geography

    Asia43%

    North America29%

    Europe29%

    Registration Source

    Website Visitors86%

    Email Promotions14%

    Job Title

    Educator/Faculty40%

    Research Scientist20%

    Engineer20%

    Veterinarian20%

    Organization

    Academic Institution57%

    Biotech Company14%

    Life Science Company14%

    Veterinary School14%


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