Author

W. Ai

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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Biophysics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

D. P. Nickerson· 1 shared K. Gong· 1 shared K. Zhang· 1 shared L. Sun· 1 shared P. J. Hunter· 1 shared Q. Shen· 1 shared S. Fan· 1 shared S. Qin· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBiophysics

D. P. Nickerson

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Author profile →

2 papers

Recent·Most cited

Energy-based bond graph models of glucose transport with SLC transporters

P. J. Hunter, W. Ai, D. P. Nickerson

The paper develops energy-based bond graph models of SLC transporters to conserve mass, charge, and energy, and demonstrates their application to glucose transport.

bioRxiv · Jun 26, 2024Biophysics

ScRNA-seq of Diverse Pheochromocytoma Patients Reveals Distinct Microenvironment Characteristics and Supports an Informative Molecular Classification System

S. Qin, Y. Xu, S. Yu, W. Han, S. Fan, W. Ai, K. Zhang, Y. Wang, X. Zhou, Q. Shen, K. Gong, L. Sun, Z. Zhang

This study uses scRNA-seq to classify PCCs into metabolism-type and kinase-type based on molecular features and microenvironment characteristics, suggesting potential therapeutic strategies.

bioRxiv · Mar 26, 2023 · PreprintCancer Biology