ScNucAdapt: Cross-Annotation Settings for Paired and Unpaired scRNA-seq and snRNA-seq Data

ScNucAdapt is a dataset containing adaptation settings for cross-annotation between single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) data. The dataset, authored by Xiran Chen and last updated on 2026-05-06, is a 5.5 KB XLS file hosted on figshare under a CC-BY-4.0 license. It supports a method designed to address distributional and cell composition differences between these two sequencing modalities.

Use Cases

• Benchmarking cross-annotation methods based on the described paired and unpaired scRNA-seq and snRNA-seq experiments.
• Training domain adaptation models for single-cell data based on the provided adaptation settings.
• Analyzing distributional shifts between whole-cell and nuclear transcriptomes based on the dataset's focus.
• Improving annotation of fragile or rare cell types in snRNA-seq data based on the described methodological framework.

Strengths

• Dataset is openly licensed (CC-BY-4.0), facilitating reuse and redistribution.
• File size is 5.5 KB, indicating a compact and likely well-structured metadata resource.

Limitations

• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size (5.5 KB) suggests it contains methodological settings or parameters, not primary sequencing data.

Provenance

Source

Xiran Chen via figshare.

Collection Method

Likely generated as part of developing the ScNucAdapt method for cross-annotation.

Time Range

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Freshness

Last updated 2026-05-06 17:43:06; freshness should be verified.

Geography

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