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Single-Cell RNA-seq Analysis

Upload your expression matrix for cell type prediction

Drag & drop your file here
or click to browse (CSV or TSV format)

Demo Case Studies

Tumor microenvironment datasets - 800 cells, 132 genes, 8-9 cell types

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Melanoma TME

800 cells, 9 types

High immune infiltration (32%) with CD8+ T cells, NK cells, M1/M2 macrophages

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Lung Cancer TME

800 cells, 9 types

M2-dominant (15%) with B cells, dendritic cells, rich fibroblast stroma

Breast Cancer TME

800 cells, 8 types

High tumor purity (50%), elevated Tregs (7%), M2-polarized microenvironment

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Colorectal TME

800 cells, 9 types

Highest CD8+ TILs (14%), mixed M1/M2, potential MSI-H signature

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Pancreatic TME

800 cells, 9 types

"Cold" tumor: Low CD8+ (8%), highest M2 (18%) & fibroblasts (15%)

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Example PBMC

800 cells, 9 types

Healthy peripheral blood: CD14/CD16 monocytes, naive/memory T cells, NK, B cells

๐Ÿ’ก Perfect for testing: All analyses included - Cell type prediction, UMAP/t-SNE, pathway enrichment, differential expression, trajectory inference, cell-cell interactions, and Omics807 biological insights

File Format Requirements
Gene,Cell_1,Cell_2,Cell_3,... CD3D,15.2,0.3,12.8,... CD8A,8.5,0.1,9.2,... GZMA,6.3,0.0,7.1,... ...
Analysis Features

Analyzing Your Data

This may take a few minutes depending on dataset size...