Author

Sunho Park

Cleveland ClinicORCID 0000-0002-0388-2198Unclaimed ORCID profile · follow to get notified of new preprints

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Sunho Park1 paper

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Bioinformatics· 2

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Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Tae Hyun HwangiD· 2 shared Hongming XuiD· 1 shared Jae‐Ho CheongiD· 1 shared Nabhonil Kar· 1 shared

Activity by Year

2018-2019 · peak 1/yr

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4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Tae Hyun HwangORCID

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2 papers

Recent·Most cited

BioinformaticsPacific Symposium on Biocomputing (PSB)Peer-reviewedNov 27, 2019

Bayesian semi-nonnegative matrix tri-factorization to identify pathways associated with cancer phenotypes

Sunho Park, Nabhonil Kar, Jae‐Ho Cheong, Tae Hyun Hwang

This paper introduces a Bayesian semi-nonnegative matrix tri-factorization method to identify cancer-associated pathways from real-valued gene expression data, showing improved performance over existing methods.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 9, 2018

Automatic Classification of Prostate Cancer Gleason Scores from Digitized Whole Slide Tissue Biopsies

Hongming Xu, Sunho Park, Tae Hyun Hwang

This paper presents an automatic method for Gleason score classification of prostate cancer using CSLBP descriptors and SVM, achieving over 79% accuracy on TCGA data.

3 citations

𝕏 PostBluesky