<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/GSE338nnn/GSE338850/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Solanum tuberosum</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=GSE338850</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Integrating machine learning with transcriptomic data for comprehensive assessment of resistance genes against powdery scab in potato</name><description>Powdery scab of potato (Solanum tuberosum L.), caused by Spongospora subterranea f. sp. subterranea, is a devastating disease that causes substantial economic losses. However, the molecular mechanisms underlying tuber specific resistance remain poorly understood, largely due to phenotyping bottlenecks and the dynamic nature of infection.</description><dates><publication>2026/07/16</publication></dates><accession>GSE338850</accession><cross_references><GSM>GSM9883454</GSM><GSM>GSM9883465</GSM><GSM>GSM9883466</GSM><GSM>GSM9883455</GSM><GSM>GSM9883456</GSM><GSM>GSM9883467</GSM><GSM>GSM9883468</GSM><GSM>GSM9883457</GSM><GSM>GSM9883469</GSM><GSM>GSM9883458</GSM><GSM>GSM9883459</GSM><GSM>GSM9883470</GSM><GSM>GSM9883471</GSM><GSM>GSM9883460</GSM><GSM>GSM9883461</GSM><GSM>GSM9883472</GSM><GSM>GSM9883451</GSM><GSM>GSM9883462</GSM><GSM>GSM9883473</GSM><GSM>GSM9883474</GSM><GSM>GSM9883463</GSM><GSM>GSM9883452</GSM><GSM>GSM9883464</GSM><GSM>GSM9883453</GSM><GPL>37230</GPL><GSE>338850</GSE><taxon>Solanum tuberosum</taxon></cross_references></HashMap>