Author

Ruoqing Zhu

University of Illinois Urbana-ChampaignORCID 0000-0002-0753-5716Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:human· 1 Assay:metagenomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Aditya Mansharamani· 1 shared Biwei CaoiD· 1 shared Christopher M. WilsoniD· 1 shared Craig S. CharroniD· 1 shared David J. BaeriD· 1 shared Denise KalosiD· 1 shared Hannah D. HolscheriD· 1 shared Janet A. NovotnyiD· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Aditya Mansharamani

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2 papers

Recent·Most cited

BioinformaticsJournal of NutritionPeer-reviewedNov 8, 2023

Fecal metagenomics to identify biomarkers of food intake in healthy adults: Findings from randomized, controlled, nutrition trials

Leila M Shinn, Aditya Mansharamani, David J. Baer…·Hannah D. Holscher

The paper uses fecal metagenomics and machine learning to identify KEGG Orthology categories as biomarkers for food intake classification in controlled nutrition trials.

15 citations

humanmetagenomics

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedDec 29, 2021

Efficient gradient boosting for prognostic biomarker discovery

Kaiqiao Li, Sijie Yao, Zhenyu Zhang…·Xuefeng Wang

This paper introduces Xsurv, an R package using XGB and LGB for survival analysis, showing it outperforms traditional methods in biomarker discovery for cancer prognosis.

76 citationstop 2%

DNA methylationmachine learning (classical)

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