Data
Dataset records, tissue sources, cell numbers, platforms, publications, and download links.
A curated maize single-cell resource for atlas visualization, gene expression query, model access, and data download.
Dataset records, tissue sources, cell numbers, platforms, publications, and download links.
Integrated UMAP, tissue distribution, cell type annotation, and marker gene expression.
scMaize model versions, input format, embedding output, applications, and weights.
Cell type annotation, cell embedding generation, and gene expression prediction.
Expression matrices, metadata, integrated embeddings, model weights, and example files.
Quick start, atlas guide, model guide, citation, FAQ, and contact information.
Integrated maize single-cell and single-nucleus transcriptomic datasets.
| Project | Tissue | Samples | Platform | Publication | Resource |
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Interactive maize single-cell atlas with tissue, cell type, and gene expression layers.
Integrated cell atlas visualization.
Seven tissue annotation layers.
Hierarchical cell type annotation.
Marker and expression pattern search.
Foundation models for maize single-cell representation and prediction.
Expression-based model for cell embedding and annotation.
GO-enhanced model for expression prediction and functional analysis.
Web tools for query datasets and scMaize model applications.
Predict cell type labels for uploaded expression matrices.
Generate low-dimensional cell representations.
Predict masked or missing gene expression values.
Data files, model weights, embeddings, and example datasets.
Guide, citation, and contact information.
Open Atlas for visualization or Download for resource files.
Use gene ID to view expression distribution in scMaizeAtlas.
Input files should contain gene expression matrix and cell metadata.
Please cite scMaize when using atlas data, embeddings, or model weights.
Email, GitHub repository, documentation, and release notes.