Maize single-cell resource

scMaize Single-cell atlas and foundation model

A curated maize single-cell resource for atlas visualization, gene expression query, model access, and data download.

scMaizeAtlasIntegrated UMAP
GeneZm00001d027230
Cell typeTissueGene expression
20+Projects
385,675Cells
66Samples
7Tissues
3Platforms
Resources

Database modules

D

Data

Dataset records, tissue sources, cell numbers, platforms, publications, and download links.

A

Atlas

Integrated UMAP, tissue distribution, cell type annotation, and marker gene expression.

M

Model

scMaize model versions, input format, embedding output, applications, and weights.

O

Apps

Cell type annotation, cell embedding generation, and gene expression prediction.

Download

Expression matrices, metadata, integrated embeddings, model weights, and example files.

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Help

Quick start, atlas guide, model guide, citation, FAQ, and contact information.

Data Resources

Integrated maize single-cell and single-nucleus transcriptomic datasets.

20+Projects
385,675Cells
66Samples
7Tissues
3Platforms

Tissue coverage

RootLeafEarSeedlingEndospermTasselShoot

Dataset summary

SourcePublic datasets
Data typesc/snRNA-seq
OutputMatrix / Metadata / Embedding
Loading datasets...
ProjectTissueSamplesPlatformPublicationResource
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scMaizeAtlas

Interactive maize single-cell atlas with tissue, cell type, and gene expression layers.

VisualizationIntegrated UMAP
LayerCell type
Cell typeTissueDataset

UMAP

Integrated cell atlas visualization.

Tissue

Seven tissue annotation layers.

Cell type

Hierarchical cell type annotation.

Gene query

Marker and expression pattern search.

scMaize Model

Foundation models for maize single-cell representation and prediction.

scMaize-Exp

Expression-based model for cell embedding and annotation.

Input: expression matrixOutput: cell embeddingDimension: 384Weights: available

scMaize-GO

GO-enhanced model for expression prediction and functional analysis.

Cell type annotationSimilarity searchExpression predictionModel download
0.82Pearson r
0.79Spearman ρ
0.71ARI
0.76NMI

Online Apps

Web tools for query datasets and scMaize model applications.

Cell type annotation

Predict cell type labels for uploaded expression matrices.

Cell embedding

Generate low-dimensional cell representations.

Expression prediction

Predict masked or missing gene expression values.

Upload expression matrixCSV / h5ad / mtx

Download

Data files, model weights, embeddings, and example datasets.

Loading resources Reading the database file index

Help

Guide, citation, and contact information.

Quick start

Open Atlas for visualization or Download for resource files.

Gene query

Use gene ID to view expression distribution in scMaizeAtlas.

Model input

Input files should contain gene expression matrix and cell metadata.

Citation

Please cite scMaize when using atlas data, embeddings, or model weights.

Contact

Email, GitHub repository, documentation, and release notes.

CitationGitHubContactFAQ