Author

Ying Yuan

The University of Texas MD Anderson Cancer CenterORCID 0000-0003-3163-480XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Ziyi LiiD· 2 shared Anirban MaitraiD· 1 shared Chris I. AmosiD· 1 shared David Morgan ThomasiD· 1 shared Elissa B. Dodd-Eaton· 1 shared Gang PengiD· 1 shared Harsimran KauriD· 1 shared Ignacio Ivan WistubaiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Ziyi LiORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

BioinformaticsPLoS Computational BiologyPeer-reviewedJul 29, 2025

PoweREST: Statistical Power Estimation for Spatial Transcriptomics Experiments to Detect Differentially Expressed Genes Between Two Conditions

Lan Shui, Anirban Maitra, Ying Yuan…·Ziyi Li

PoweREST estimates statistical power for detecting differentially expressed genes in spatial transcriptomics experiments using 10X Genomics Visium data.

5 citations

spatial transcriptomicsstatistical model

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BioinformaticsThe Annals of Applied StatisticsPeer-reviewedAug 6, 2024

A novel Bayesian model for assessing intratumor heterogeneity of tumor infiltrating leukocytes with multi-region gene expression sequencing

Yang Peng, Shawna Marie Hubert, P. Andrew Futreal…·Ziyi Li

The paper introduces ICeITH, a Bayesian model to assess intratumor heterogeneity of tumor-infiltrating leukocytes using multi-region gene expression data, showing improved accuracy over existing methods.

DOI 10.1214/23-aoas1862

humanbulk RNA-seq

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GeneticsbioRxivPreprintMar 5, 2019

Risk of differential cancer types over age in families with Li-Fraumeni syndrome: a validation study using multi-center cohorts

Seung Jun Shin, Elissa B. Dodd-Eaton, Gang Peng…·Wenyi Wang

The paper estimates cancer-specific penetrance in Li-Fraumeni syndrome using a statistical model and validates it across multiple cohorts, showing age-dependent risk patterns for different cancer types.

1 citation

humanstatistical model

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