Nima Nouri

CellAtria automates scRNA-seq data ingestion and analysis through an AI agent and chatbot interface, reducing manual effort and increasing accessibility.

PyEvoCell uses an LLM to aid in interpreting single-cell trajectory analysis by suggesting lineages, performing differential expression analysis, and validating hypotheses with PubMed citations.

scGFT generates synthetic single-cell RNA-seq data without training, preserving natural gene expression profiles to address data scarcity in AI-driven biomedical research.

The paper performs a meta-analysis of scRNA-seq data to identify disease-specific and shared chemokine-based cell communication patterns in immune diseases.

The paper introduces GENIX, a platform for identifying perturbation-relevant genes using gene association networks, applied to influenza vaccine responses in COVID-19 recovered patients.