Transcriptomic Knowledge-graph-driven Omics Integration for Human Pathway Analysis. Combines transcriptomic data with a human-specific biological knowledge graph for network-aware enrichment, functional interpretation, and gene prioritization via personalized PageRank.

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Proteomic Knowledge-graph-driven Omics Integration. A network-based enrichment analysis tool integrating differential proteomics data with a heterogeneous biological knowledge graph, using personalized PageRank to prioritize genes, diseases, pathways, and cell types.

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Kinship Decouple and Phenotype Selection. Resolves cryptic relatedness in genetic studies using a phenotype-aware approach, retaining subjects with relevant traits while pruning related individuals based on kinship or IBD scores.

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A grammar-of-graphics approach for visualizing summary statistics from multiple GWAS datasets. Offers flexible, extensively customizable tools for illustrating complex genetic associations and comparative analysis across studies.

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Interface for the Neo4j Bolt Protocol. Enables querying, extracting, and processing large-scale network data from Neo4j databases with efficient retrieval, batch processing, and seamless conversion to R data frames.

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An R interface with the ChatGPT API. Provides a convenient, accessible bridge to OpenAI's language models for natural language processing tasks within the R ecosystem.

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An AI-powered integrated research environment that unifies commercial, institution-hosted, and local AI models for secure biomedical discovery. Enables researchers to coordinate AI agents across clinical databases, biomedical knowledge graphs, and literature while maintaining full data security.

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Transforms Claude Desktop into a medical AI assistant with secure, local access to electronic health records and biomedical knowledge graphs. Allows healthcare professionals and researchers to process sensitive patient data on-device while leveraging comprehensive medical knowledge for clinical decision support.

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