idr0090
Release Date: 2021-03-02
Publication DOI: 10.1126/sciadv.aba9338
Data DOI: 10.17867/10000156
License: CC BY 4.0
PubMed ID: 32978158
PMC ID: PMC7518791
A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens
High-content imaging of P. falciparum in red blood cells over multiple weeks under both control and drug-treatment conditions.
Ashdown GW, Dimon M, Fan M, Terán FS, Witmer K, Gaboriau DCA, Armstrong Z, Ando DM, Baum J
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idr0090-ashdown-malaria/screenA ()
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screenA ( , parquet: )
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Sample Type: cell
Organism: Plasmodium falciparum 3D7
Study Type: high content screen
Screen Type: primary screen
Screen Technology Type: compound screen
Imaging Method: fluorescence microscopy
Copyright: Imperial College London
Data Publisher: University of Dundee
Annotation File: idr0090-screenA-annotation.csv
