Author

G. Vecchi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biochemistry· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. Adam· 1 shared D. Athauda· 1 shared D. B. Ascher· 1 shared D. E. V. Pires· 1 shared D. M. Hatters· 1 shared G. E. Reid· 1 shared G. S. Virdi· 1 shared H. Chang· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperCell Biology

A. Adam

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2 papers

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

Widespread remodelling of proteome solubility in response to different protein homeostasis stresses

X. Sui, D. E. V. Pires, S. Nie, G. Vecchi, M. Vendruscolo, D. B. Ascher, G. E. Reid, D. M. Hatters

The paper measures proteome solubility changes in Neuro2a cells under various protein homeostasis stresses and finds widespread remodelling with specific patterns of solubility shifts.

bioRxiv · Jul 26, 2019Biochemistry