Author

Bangdong Zhi

University of Bristol

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

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Neuroscience· 1

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Christelle Schneuwly DiaziD· 1 shared Duy-Cat CaniD· 1 shared Duy-Thanh Vu· 1 shared Gilles Allali· 1 shared Giuseppe PantaleoiD· 1 shared Guillaume E. Blanc· 1 shared Guy NagelsiD· 1 shared Haochang ShouiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Christelle Schneuwly DiazORCID

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1 paper

Recent·Most cited

Residual Partial Least Squares Learning: Brain Cortical Thickness Simultaneously Predicts Eight Non-pairwise-correlated Behavioural and Disease Outcomes in Alzheimer's Disease

Duy-Thanh Vu, Duy-Cat Can, Christelle Schneuwly Diaz, Julien Bodelet, Guillaume E. Blanc, Huy Phan, Gilles Allali, Viet-Dung Nguyen, Hengyi Cao, Xingru He, Yannick Muller, Bangdong Zhi, Haochang Shou, Haoyu Zhang, Wei He, , The Alzheimer's Disease Neuroimaging Initiative (ADNI)

This paper introduces re-PLS Learning to predict multiple AD outcomes from brain cortical thickness, identifying joint predictive regions across cohorts.

bioRxiv · Mar 11, 2024 · PreprintNeuroscience