Author

Yijing Gao

University of California, San FranciscoORCID 0000-0003-0874-4445Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Yijing Gao1 paper · New York University

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Srikantan S. NagarajaniD· 2 shared Ali B. HashemiiD· 1 shared Ashish RajiD· 1 shared Chang CaiiD· 1 shared Corby L. DaleiD· 1 shared Fei JiangiD· 1 shared Huaqing JiniD· 1 shared Kamalini G. RanasingheiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersNeuroscience

Srikantan S. NagarajanORCID

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2 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedSep 11, 2023

Dynamic functional connectivity MEG features of Alzheimer's disease

Huaqing Jin, Kamalini G. Ranasinghe, Pooja Prabhu…·Fei Jiang

This study identifies dynamic functional connectivity features in MEG data that distinguish Alzheimer's disease from healthy controls, showing higher spatial complexity and lower temporal complexity in AD patients.

13 citations

humanelectronic health records

𝕏 PostBluesky

NeuroscienceIEEE Transactions on Medical ImagingPeer-reviewedNov 24, 2022

Joint Learning of Full-structure Noise in Hierarchical Bayesian Regression Models

Ali B. Hashemi, Chang Cai, Yijing Gao…·Stefan Haufe

The paper develops a hierarchical Bayesian model for EEG source reconstruction that jointly estimates full-structure noise covariance matrices, improving accuracy in real-world scenarios with non-diagonal noise.

26 citationstop 1%

electronic health recordsstatistical model

𝕏 PostBluesky