Author

Rish K. Pai

Mayo Clinic in ArizonaORCID 0000-0002-2692-221XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:drug response / drug discovery· 2 Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Approach:benchmark study· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Jeroen R. HuygheiD· 2 shared Li LiiD· 2 shared Qiuyin CaiiD· 2 shared Zhishan CheniD· 2 shared Adetunji T. ToriolaiD· 1 shared Aesun ShiniD· 1 shared Alicja WolkiD· 1 shared Amanda I. PhippsiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Jeroen R. HuygheORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineThe American Journal of Human GeneticsPeer-reviewedDec 2, 2025

Large-scale integration of omics and electronic health records to identify potential risk protein biomarkers and therapeutic drugs for cancer prevention

Qing Li, Qingyuan Song, Zhishan Chen…·Xingyi Guo

This study integrates large-scale omics and electronic health records to identify risk proteins and drugs for cancer prevention, finding 101 novel proteins and three drugs associated with reduced colorectal cancer risk.

4 citations

humanGWAS summary statistics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 1, 2024

Deep Gaussian Process with Uncertainty Estimation for Microsatellite Instability and Immunotherapy Response Prediction Based on Histology

Sunho Park, Mark Pettigrew, Yoon Jin Cha…·Tae Hyun Hwang

MSI-SEER uses deep Gaussian processes to predict microsatellite instability from histology images, achieving high accuracy in MSI prediction and ICI response prediction.

DOI 10.1101/2024.11.01.621561

humanimaging

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintJan 19, 2023

Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity

Minta Thomas, Yu‐Ru Su, Elisabeth A. Rosenthal…·Taiki Yamaji

This study improves polygenic risk scores for colorectal cancer by combining Asian and European ancestry data, enhancing risk prediction across diverse racial and ethnic groups.

1 citation

humanGWAS summary statistics

𝕏 PostBluesky