Author

Mufang Ying

University of Wisconsin–Madison

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· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 1 Research Focus:gene regulatory network inference· 1 Assay:Hi-C· 1 Organism:human· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Daifeng WangiD· 1 shared Jiawei HuangiD· 1 shared Panos RoussosiD· 1 shared Peter R. RehaniiD· 1 shared Shuang LiuiD· 1 shared Ting JiniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBioinformatics

Daifeng WangORCID

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1 paper

Recent·Most cited

scGRNom: a computational pipeline of integrative multi-omics analyses for predicting cell-type disease genes and regulatory networks

Ting Jin, Peter R. Rehani, Mufang Ying, Jiawei Huang, Shuang Liu, Panos Roussos, Daifeng Wang

scGRNom predicts cell-type disease genes and regulatory networks from multi-omics data, revealing shared and disease-specific functions in schizophrenia and Alzheimer's Disease.

Genome Medicine · May 27, 2021Peer-reviewedBioinformatics