Author

Paul Little

Fred Hutch Cancer CenterORCID 0000-0002-9789-8501Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:eQTL / molecular QTL mapping· 2 Organism:human· 2 Approach:statistical model· 2 Approach:optimal transport· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Vasyl ZhabotynskyiD· 2 shared Danyu Y. LiniD· 1 shared Fei ZouiD· 1 shared Fernando Pardo‐Manuel de VillenaiD· 1 shared Li HsuiD· 1 shared Licai HuangiD· 1 shared Si LiuiD· 1 shared Wei SuniD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersGenomics

Vasyl ZhabotynskyORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

ROKET: Associating Somatic Mutation with Clinical Outcomes through Kernel Regression and Optimal Transport

Paul Little, Li Hsu, Wei Sun

ROKET uses kernel regression and optimal transport to associate somatic mutations with clinical outcomes, identifying associations in three cancer types.

Biometrics · Oct 11, 2022Peer-reviewedGenomics

A computational method for Cell type-specific Expression Quantitative Trait Loci mapping using bulk RNA-seq data

Paul Little, Si Liu, Vasyl Zhabotynsky, Yun Li, Danyu Y. Lin, Wei Sun

This paper introduces a statistical method to map cell type-specific eQTLs using bulk RNA-seq data, improving accuracy over existing methods by leveraging allele-specific expression.

bioRxiv · Mar 31, 2022 · PreprintGenomics

eQTL mapping using allele-specific gene expression

Vasyl Zhabotynsky, Licai Huang, Paul Little, Yi‐Juan Hu, Fernando Pardo‐Manuel de Villena, Fei Zou, Wei Sun

The paper develops TReCASE, a statistical method for eQTL mapping using ASE data, showing it improves power and efficiency compared to existing methods.

bioRxiv · Jul 3, 2021 · PreprintGenomics