Author

Kayhan N. Batmanghelich

University of PittsburghORCID 0000-0001-9893-9136Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 3 Assay:imaging· 3 Approach:statistical model· 3 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Approach:Bayesian inference· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Ahmed Essam MahfouziD· 1 shared Alzheimer’s Disease Neuroimaging Initiative· 1 shared Boudewijn P. F. LelieveldtiD· 1 shared Dacheng TaoiD· 1 shared Dana TudorascuiD· 1 shared Frank C. SciurbaiD· 1 shared George C. TsengiD· 1 shared Kun ZhangiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperBioinformatics

Ahmed Essam MahfouzORCID

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Author profile →

3 papers

Recent·Most cited

ComBat Harmonization: Empirical Bayes versus Fully Bayes Approaches

Maxwell J. Reynolds, Tigmanshu Chaudhary, Mahbaneh Eshaghzadeh Torbati, Dana Tudorascu, Kayhan N. Batmanghelich, the Alzheimer’s Disease Neuroimaging Initiative

This paper compares empirical Bayes and fully Bayesian approaches for harmonizing neuroimaging data, finding empirical Bayes more efficient but underestimating uncertainty, while fully Bayesian better preserves biological information.

NeuroImage Clinical · Jan 1, 2023Peer-reviewedNeuroscience

Unpaired Data Empowers Association Tests

Mingming Gong, Peng Liu, Frank C. Sciurba, Petar Stojanov, Dacheng Tao, George C. Tseng, Kun Zhang, Kayhan N. Batmanghelich

The paper introduces SAT, a method that uses both paired and unpaired data to improve association tests between biomedical data types, showing better control of false discovery and increased power in real-world applications.

Bioinformatics · Oct 5, 2020Peer-reviewedBioinformatics

A structural equation model for imaging genetics using spatial transcriptomics

Alzheimer’s Disease Neuroimaging Initiative, Sjoerd M. H. Huisman, Ahmed Essam Mahfouz, Kayhan N. Batmanghelich, Boudewijn P. F. Lelieveldt, Marcel J. T. Reinders

The paper develops a structural equation model that integrates genetic variants and brain imaging features using spatial transcriptomics data to study Alzheimer's disease.

Brain Informatics · Nov 2, 2018Peer-reviewedBioinformatics