Author

Sen Wan

Tsinghua UniversityORCID 0000-0002-0470-2689Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:GWAS / association mapping· 1 Assay:GWAS summary statistics· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Feng BaoiD· 2 shared Qionghai DaiiD· 2 shared Yue Cheng DengiD· 2 shared Bo WangiD· 1 shared David C. ChristianiiD· 1 shared Feng CheniD· 1 shared Junyi XiniD· 1 shared Lani F. WuiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Feng BaoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintSep 5, 2020

Characterizing tissue composition through combined analysis of single-cell morphologies and transcriptional states

Feng Bao, Yue Cheng Deng, Sen Wan…·Lani F. Wu

This paper introduces MUSE, a method that combines single-cell morphology and transcriptional data to better characterize tissue heterogeneity and identify subpopulations missed by individual modalities.

3 citations

mousespatial transcriptomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 17, 2019

Explaining the genetic causality for complex diseases via deep association kernel learning

Feng Bao, Yue Cheng Deng, Mulong Du…·Qionghai Dai

This paper introduces a deep learning model to improve GWAS by detecting complex genetic effects, revealing potential causal pathways in disease development.

DOI 10.1101/2019.12.17.879866

GWAS summary statisticsdeep learning

𝕏 PostBluesky