Author

Xinran Miao

University of Wisconsin–MadisonORCID 0000-0003-2042-3636Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Daniel W. GrupeiD· 1 shared Hanying Jiang· 1 shared Jiacheng MiaoiD· 1 shared Jiwei ZhaoiD· 1 shared Jo HandelsmaniD· 1 shared Kris SankaraniD· 1 shared Mara Beebe· 1 shared Margaret W. ThairuiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Daniel W. GrupeORCID

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2 papers

Recent·Most cited

BioinformaticsMicrobiology SpectrumPeer-reviewedDec 17, 2024

multimedia: Multimodal Mediation Analysis of Microbiome Data

Hanying Jiang, Xinran Miao, Margaret W. Thairu…·Kris Sankaran

The paper introduces the multimedia R package for mediation analysis of microbiome data, demonstrating its ability to uncover mechanistic interactions in two case studies.

8 citations

humanmetagenomics

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Genetic & Genomic MedicineNature GeneticsPeer-reviewedSep 30, 2024

Valid inference for machine learning-assisted GWAS

Jiacheng Miao, Yixuan Wu, Zhongxuan Sun…·Qiongshi Lu

This study identifies risks of false positives in ML-assisted GWAS and introduces POP-GWAS, a framework that provides valid inference for GWAS on ML-imputed phenotypes, applied to BMD data to find 89 novel loci.

28 citationstop 2%

humanGWAS summary statistics

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