Various embodiments for systems and methods of providing an
artificial intelligence (AI)
workflow assistant for single
cell RNA sequencing (scRNA-seq) and related "
omics" analyses within an R / Seurat environment is disclosed herein. Input data including a Seurat object and associated outputs are processed to compute dataset
metrics that are combined with pre-defined prompt templates to internally construct augmented prompts, without requiring users to manually craft prompts. Augmented prompts are submitted to a large
language model (LLM), and responses are parsed and integrated into
workflow outputs to provide data-driven recommendations and interpretations across analysis stages. In some implementations, an integration and analysis network (IAN) uses a multi-
agent architecture in which multiple agents process pathway and network-based enrichment results, aggregate agent responses with an experimental description to form a comprehensive augmented prompt, and generate an integrated LLM response, an LLM-derived
system model, and a comprehensive
HTML report, optionally including interactive network visualizations summarizing enriched pathways and relationships.