Author

Jiashi Wang

Indiana 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:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Changlin WaniD· 2 shared Chi ZhangiD· 2 shared Sha CaoiD· 2 shared Wennan ChangiD· 2 shared Xiaoyu LuiD· 2 shared Yong ZangiD· 2 shared Baskar RamdasiD· 1 shared Melissa L. FisheliD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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2 shared papersBioinformatics

Changlin WanORCID

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2 papers

Recent·Most cited

A graph neural network model to estimate cell-wise metabolic flux using single cell RNA-seq data

Norah Alghamdi, Wennan Chang, Pengtao Dang, Xiaoyu Lu, Changlin Wan, Silpa Gampala, Zhi Huang, Jiashi Wang, Qin Ma, Yong Zang, Melissa L. Fishel, Sha Cao, Chi Zhang

This paper introduces scFEA, a graph neural network model to estimate cell-wise metabolic flux from scRNA-seq data, validated with matched metabolomics data and applied to multiple datasets.

Genome Research · Oct 1, 2021Peer-reviewedBioinformatics

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