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ArchetypeShift: An R Package Integrating KEGG-Informed Pathway Analysis and IPA-Derived Functional Predictions for Validation of Single-Cell Archetypes

GSE334564 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2026/06/30 Platform GPL30173
Summary
Archetype analysis is important because clustering of cell types is often nuanced and inexact. We developed a new pipeline to identify and annotate single-cell archetypes from preterm infant small intenstine organoids.
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Also filed as BioProject PRJNA1475458 and SRA study SRP707242. Searching any of these in the dataset finder brings you back here.

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