Single-Cell RNA-seq Analysis

Cell Type Prediction with Cell2Sentence

Analyze thousands of cells in minutes using state-of-the-art language models trained on single-cell genomics data

Cell Type Prediction

Automatically identify cell types using Cell2Sentence, a transformer model trained on millions of single cells from diverse tissues

Gene Expression Analysis

Discover top expressed genes per cell type, identify marker genes, and visualize expression patterns across your dataset

Omics807 Insights

Get expert-level biological interpretations of your results, including clinical relevance and tumor microenvironment context

How Cell2Sentence Works

Cell2Sentence transforms single-cell gene expression data into natural language "sentences" where genes are words ordered by expression level. This innovative approach leverages large language models (LLMs) pre-trained on genomics data to understand cellular identity.

Converts gene expression profiles into cell sentences
Uses transformer models trained on millions of cells
Provides cell type predictions with confidence scores
Identifies marker genes and expression patterns
Integrates with advanced AI for biological insights