Author

Dixin Shen

Gilead Sciences (United States)ORCID 0000-0002-2608-2775Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Approach:statistical model· 1

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Eric S. KawaguchiiD· 1 shared Juan Pablo LewingeriD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioinformatics

Eric S. KawaguchiORCID

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1 paper

Recent·Most cited

BioinformaticsBioData MiningPeer-reviewedOct 24, 2024

A Regularized Cox Hierarchical Model for Incorporating Annotation Information in Predictive Omic Studies

Dixin Shen, Juan Pablo Lewinger, Eric S. Kawaguchi

The paper introduces a regularized hierarchical Cox model that integrates meta-features to improve prediction and feature selection for time-to-event outcomes in omic studies.

2 citations

bulk RNA-seqstatistical model

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