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Comparative analysis of RNA-seq pipelines across computing environments for generating machine-learning outcomes

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dc.contributor.authorArias Espinoza, Nicole
dc.contributor.authorSegura Valverde, Alonso
dc.contributor.authorMesen-Porras, Susana
dc.date.accessioned2026-07-17T21:01:12Z
dc.date.available2026-07-17T21:01:12Z
dc.date.issued2026
dc.identifier.doidoi: 10.1109/BIP68491.2025.11489150
dc.identifier.urihttps://hdl.handle.net/20.500.12337/11792
dc.language.isoen_US
dc.publisher2025 IEEE 7th International Conference on BioInspired Processing (BIP).
dc.relationdoi: 10.1109/BIP68491.2025.11489150
dc.rightsacceso abierto
dc.source2025 IEEE 7th International Conference on BioInspired Processing (BIP), Pérez Zeledón, Costa Rica, 2025, pp. 1-6,
dc.subjectAPRENDIZAJE AUTOMÁTICO
dc.subjectINTELIGENCIA ARTIFICIAL
dc.titleComparative analysis of RNA-seq pipelines across computing environments for generating machine-learning outcomes
dc.typeartículo de investigación

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