Author

Rui Sun

Anhui Medical University

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

Same name, identified by ORCID

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:electrophysiology· 1 Approach:experimental assay· 1

Frequent Co-Authors

Abbas Sohrabpour· 1 shared Alain CharestiD· 1 shared Albert H. KimiD· 1 shared Aleksandar Krbanjevic· 1 shared Alexander F WangiD· 1 shared Allegra A. PettiiD· 1 shared Anthony Z. WangiD· 1 shared Bhuvic PateliD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioengineering

Abbas Sohrabpour

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Drug-Prot: A query system for statistical inference of drug effects and interactions in dynamic proteomic networks

Markus Ulmer, Rui Sun, Liujia Qian, Ruedi H. Aebersold, Tiannan Guo, Peter Bühlmann

Drug-Prot quantifies drug effects and interactions using proteomic data, revealing protein-level causal relationships and actionable drug combinations.

bioRxiv · Jun 22, 2026 · PreprintBioinformatics

Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions

Saad M. Khan, Anthony Z. Wang, Rupen R. Desai, Gyeong Dae Kim, Colin R. McCornack, Rui Sun, Sonika M Dahiya, Jennifer Ann Foltz, Ngima D. Sherpa, Katherine Xu, Harrison Olszewski, Markus Anzaldua-Campos, Yuhui Song, Elizabeth Seider, Natan Pirete Gadens, , Allegra A. Petti

This study uses spatial transcriptomics to map glioblastoma's spatial architecture, identifying tumor cell states and intercellular interactions along the core-edge axis.

bioRxiv · Apr 4, 2025 · PreprintCancer Biology

SIFNet: Electromagnetic Source Imaging Framework Using Deep Neural Networks

Rui Sun, Abbas Sohrabpour, Shuai Ye, Bin He

SIFNet uses deep learning to improve source imaging from EEG/MEG data, showing better performance than traditional methods in simulations and clinical epilepsy data.

bioRxiv · May 11, 2020 · PreprintBioengineering