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.
Molecular Diagnostics
Molecular Biology
Dna
Biomarkers
Cell Biology
Immunology
Biotechnology
Genomics
Bioinformatics
Antibodies
Laboratory Testing
Gene Expression
Drug Discovery
Clinical Research
Gene Sequencing
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