Author

D. Athauda

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Cell Biology· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. Adam· 1 shared G. S. Virdi· 1 shared G. Vecchi· 1 shared H. Chang· 1 shared J. Fleming· 1 shared J. R. Evans· 1 shared K. D'Sa· 1 shared M. L. Choi· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperCell Biology

A. Adam

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1 paper

Recent·Most cited

Deep learning in human neurons predicts mechanistic subtypes of Parkinson's

K. D'Sa, J. R. Evans, G. S. Virdi, G. Vecchi, A. Adam, O. Bertolli, J. Fleming, H. Chang, D. Athauda, M. L. Choi, S. Gandhi

This study uses deep learning on patient-derived neurons to predict Parkinson's disease subtypes with high accuracy, highlighting mitochondrial and lysosomal features as key predictors.

bioRxiv · Mar 10, 2022 · PreprintCell Biology