Author

Wen‐Ping Hsieh

National Tsing Hua UniversityORCID 0000-0003-0006-6635Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:statistical model· 1

Frequent Co-Authors

An‐Shun TaiiD· 2 shared Chien-Hua Peng· 1 shared George C. TsengiD· 1 shared Shih-Chi Peng· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersGenomics

An‐Shun TaiORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintAug 12, 2019

BayICE: A hierarchical Bayesian deconvolution model with stochastic search variable selection

An‐Shun Tai, George C. Tseng, Wen‐Ping Hsieh

BayICE improves gene expression deconvolution by addressing limitations in cell type gene selection and unknown cell profile recovery, showing better performance in estimating cell proportions in cancer data.

DOI 10.1101/732743

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedDec 12, 2018

Decomposing the subclonal structure of tumors with two-way mixture models on copy number aberrations

An‐Shun Tai, Chien-Hua Peng, Shih-Chi Peng, Wen‐Ping Hsieh

This paper introduces CloneDeMix, a two-way mixture model for analyzing copy number aberrations in tumors, revealing subclonal structure and mutation order with high accuracy.

3 citations

humanwhole-genome sequencing

𝕏 PostBluesky