Vincent T. Metzger

BiomarkerKB: An Integrated Knowledgebase Supporting Biomarker-Centric Exploration of Biomedical Data

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

CausalKnowledgeTrace: A Novel Computational Framework for Automated Literature-Based Causal Graph Construction and Evidence-Based Variable Selection in Biomedical Research

CausalKnowledgeTrace constructs causal graphs and identifies confounders and bias structures from biomedical literature using structured knowledge, improving variable selection for causal inference.

The Common Fund Data Ecosystem (CFDE)

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: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

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

The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data

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