A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens (OME-NGFF)

Cellular/molecular imaging dataset — a durable, citable reference into the African DSI DataBank's federated catalog.

Last updated 9/2/2026, 3:40:12 AM

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African DSI DataBank. A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens (OME-NGFF). AFDSI-CELL-1025. 2026. https://hub.africandsidatabank.africa/cite/AFDSI-CELL-1025 Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD882.Copy citation

@misc{AFDSICELL1025,
  title        = {A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens (OME-NGFF)},
  author       = {{African DSI DataBank}},
  year         = {2026},
  howpublished = {\url{https://hub.africandsidatabank.africa/cite/AFDSI-CELL-1025}},
  note         = {African DSI DataBank citable identifier AFDSI-CELL-1025; Mirrored from data source: BioImage Archive: https://www.ebi.ac.uk/biostudies/studies/S-BIAD882}
}

AFDSI-CELL-1025 is a stable, resolvable local identifier — not a registered DOI. See Terms of use's "Citation policy" for the full explanation.