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SLIDE analysis of the scRNA-seq data using an interpretable factor-analysis machine learning framework, that moves beyond predictive biomarkers to try and infer latent factors underlying LS pathophysi

GEO Series GSE288490. Homo sapiens. 16 samples. Type: Expression profiling by high throughput sequencing.

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
4
Reuse readiness
0
Engagement
8

Topics