Author

Szu-wei Tu

Indiana University – Purdue University Indianapolis

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:deconvolution· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Changlin WaniD· 2 shared Chi ZhangiD· 2 shared Sha CaoiD· 2 shared Wennan ChangiD· 2 shared Xiaoyu LuiD· 2 shared Xiongbin LuiD· 2 shared Yong ZangiD· 2 shared Anru R. ZhangiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Changlin WanORCID

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2 papers

Recent·Most cited

SSMD: A semi-supervised approach for a robust cell type identification and deconvolution of mouse transcriptomics data

Xiaoyu Lu, Szu-wei Tu, Wennan Chang, Changlin Wan, Jiashi Wang, Yong Zang, Baskar Ramdas, Reuben Kapur, Xiongbin Lu, Sha Cao, Chi Zhang

SSMD improves cell type identification and deconvolution in mouse transcriptomics by addressing variations in genetics, experimental platforms, and small sample sizes.

Briefings in Bioinformatics · Oct 12, 2020Peer-reviewedBioinformatics

A semi-supervised approach for cell phenotypic and functional estimation in tissue microenvironment

Wennan Chang, Changlin Wan, Xiaoyu Lu, Szu-wei Tu, Yifan Sun, Xinna Zhang, Yong Zang, Anru R. Zhang, Kun Huang, Yunlong Liu, Xiongbin Lu, Sha Cao, Chi Zhang

ICTD improves tissue microenvironment analysis by enhancing cell type identification, marker gene discovery, and functional inference through a semi-supervised deconvolution approach.

bioRxiv · Dec 5, 2019 · PreprintBioinformatics