Author

Minseok Seo

Brigham and Women's HospitalORCID 0000-0002-5364-7524Unclaimed ORCID profile · follow to get notified of new preprints

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Minseok Seo1 paper · Daegu Gyeongbuk Institute of Science and Technology

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Craig P. HershiD· 1 shared Danyang YuiD· 1 shared Jaehoon AniD· 1 shared Jungsoo GimiD· 1 shared Kyungtaek ParkiD· 1 shared Scott T. WeissiD· 1 shared Sungho WoniD· 1 shared Taesung ParkiD· 1 shared

Activity by Year

2019-2019 · peak 2/yr

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10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Craig P. HershORCID

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2 papers

Recent·Most cited

BioinformaticsBMC GenomicsPeer-reviewedJul 2, 2019

BALLI: Bartlett-Adjusted Likelihood-based LInear Model Approach for Identifying Differentially Expressed Gene with RNA-seq Data

Kyungtaek Park, Jaehoon An, Jungsoo Gim…·Sungho Won

BALLI improves differential expression analysis in RNA-seq by addressing small sample bias and providing better power and precision than existing methods.

5 citations

bulk RNA-seqstatistical model

BioinformaticsScientific ReportsPeer-reviewedMar 18, 2019

Novel Data Transformations for RNA-seq Data Analysis

Zeyu Zhang, Danyang Yu, Minseok Seo…·Weiliang Qiu

The paper proposes eight RNA-seq data transformations to improve analysis accuracy, showing that limma+rv and limma+l2 perform best in simulations and real data.

70 citationstop 4%

bulk RNA-seqstatistical model