Author

Maki Tanioka

University of North Carolina at Chapel HillORCID 0000-0002-6558-2246Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Andrew B. NobeliD· 1 shared C. Fan· 1 shared Charles M. PerouiD· 1 shared Dan-Yu Lin· 1 shared Donglin ZengiD· 1 shared Joel S. ParkeriD· 1 shared Kin Yau WongiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Andrew B. NobelORCID

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1 paper

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedMar 7, 2019

An Integrative Boosting Approach for Predicting Survival Time With Multiple Genomics Platforms

Kin Yau Wong, C. Fan, Maki Tanioka…·Charles M. Perou

This paper introduces I-Boost, a method that improves survival time prediction by integrating multiple genomics data types with clinical variables, showing better accuracy than existing methods.

13 citations

bulk RNA-seqstatistical model

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