Christophe Gerard Lambert

BiomarkerKB integrates and standardizes biomarker data from multiple sources to enable structured exploration and discovery of biomarker-disease relationships.

The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.

KG2ML identifies disease-associated genes not in existing knowledge graphs using positive unlabeled learning and integrates with machine learning for improved classification.

The paper introduces a knowledge graph framework for integrating and querying biomedical data across domains, demonstrating its utility in eight use cases.

The paper constructs a reproductive toxicity knowledge graph (ReproTox-KG) to link birth defects, drugs, and genes, identifying potential molecular mechanisms for drug-induced birth defects.

TIGA aggregates and ranks gene-trait associations from GWAS data to prioritize drug targets using statistical and bibliometric evidence.

This paper validates the analytical and clinical utility of FirstStepDx PLUS, a chromosomal microarray optimized for neurodevelopmental conditions, showing its effectiveness in detecting copy number variants using buccal and blood samples.