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f-beta-score

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engrsabakhan / -CryoET-Object-Identification-Advancing-3D-Protein-Complex-Annotation

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Automated detection of protein complexes in cryo-electron tomography (cryoET) data. ML models identify five particle classes using a weighted F-β (β=4) metric focused on recall, especially for hard targets, helping reveal cellular “dark matter” and advance biological discovery.

bioinformatics computer-vision kaggle-competition synthetic-data cryoem cryoet electron-tomography 3d-image-analysis f-beta-score
  • Updated Nov 24, 2025
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