<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE334nnn/GSE334564/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE334564</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>ArchetypeShift: An R Package Integrating KEGG-Informed Pathway Analysis and IPA-Derived Functional Predictions for Validation of Single-Cell Archetypes</name><description>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.</description><dates><publication>2026/06/30</publication></dates><accession>GSE334564</accession><cross_references><GSM>GSM9790996</GSM><GSM>GSM9790997</GSM><GSM>GSM9790998</GSM><GSM>GSM9790999</GSM><GSM>GSM9790994</GSM><GSM>GSM9790995</GSM><GPL>30173</GPL><GSE>334564</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>