Author

Kun Wang

National Institutes of HealthORCID 0000-0001-9851-7080Unclaimed ORCID profile · follow to get notified of new preprints

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Kun Wang6 papers · University of Illinois Urbana-Champaign

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:spatial transcriptomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Binbin WangiD· 1 shared Eytan RuppiniD· 1 shared Han ChuiD· 1 shared Hansen Cheng· 1 shared Haoyang CaiiD· 1 shared Jian YangiD· 1 shared Liting Dong· 1 shared Peng JiangiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Binbin WangORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintApr 20, 2023

Exploring the Landscape of Spatial Transcriptome Analysis: Introducing STASH, a Database of Spatial Transcriptome Tools

Han Chu, Kun Wang, Hansen Cheng…·Haoyang Cai

The paper introduces STASH, a database of spatial transcriptome analysis tools, to help researchers find and use appropriate tools for their studies.

2 citations

spatial transcriptomicsbenchmark study

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BioinformaticsbioRxivPreprintJan 17, 2023

Decoupling the correlation between cytotoxic and exhausted T lymphocyte transcriptomic signatures enhances melanoma immunotherapy response prediction from tumor expression

Binbin Wang, Kun Wang, Peng Jiang, Eytan Ruppin

This study identifies a decoupling signature that reduces the correlation between cytotoxic and exhausted T cell activities, improving the prediction of immunotherapy response in melanoma.

1 citation

humanbulk RNA-seq

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