Author

Rong Zablocki

University of California San DiegoORCID 0000-0003-1670-0557Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 2 Research Focus:GWAS / association mapping· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Wesley Kurt ThompsoniD· 3 shared Andrew Joseph SchorkiD· 2 shared Chun Chieh FaniD· 2 shared Armin SchwartzmaniD· 1 shared Bohan XuiD· 1 shared Richard A. LevineiD· 1 shared Shujing XuiD· 1 shared Yunpeng WangiD· 1 shared

Activity by Year

2017-2023 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 19 mutual co-author links

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3 shared papersBioinformatics

Wesley Kurt ThompsonORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 24, 2023

A Bayesian Regularized and Anotation-Informed Integrative Analysis of Cognition (BRAINIAC)

Rong Zablocki, Bohan Xu, Chun Chieh Fan, Wesley Kurt Thompson

BRAINIAC estimates variance explained by features for a cognitive phenotype and assesses annotation impact on feature enrichment using resting state fMRI data.

1 citation

humanimaging

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BioinformaticsThe Annals of Applied StatisticsPeer-reviewedDec 1, 2017

Semi-Parametric Covariate-Modulated Local False Discovery Rate For Genome-Wide Association Studies

Rong Zablocki, Richard A. Levine, Andrew Joseph Schork…·Wesley Kurt Thompson

This paper introduces a covariate-modulated local false discovery rate method for GWAS to improve power and pathway analysis for schizophrenia.

9 citations

humanGWAS summary statistics

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BioinformaticsbioRxivPreprintOct 17, 2017

A simple, consistent estimator of heritability for genome-wide association studies

Armin Schwartzman, Andrew Joseph Schork, Rong Zablocki, Wesley Kurt Thompson

The paper introduces a consistent estimator for heritability in GWAS using summary statistics, accounting for linkage disequilibrium and enabling analytical precision.

3 citations

GWAS summary statisticsstatistical model

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