Author

Z. Wei

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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Cell Biology· 8 Bioengineering· 5 Microbiology· 5 Cancer Biology· 4 Biochemistry· 2 Ecology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 26 Research Focus:cell type annotation· 14 Organism:human· 11 Assay:bulk RNA-seq· 9 Organism:mouse· 9 Assay:proteomics· 9 Research Focus:gene regulatory network inference· 7 Research Focus:host-pathogen & immune response· 7

Frequent Co-Authors

X. Li· 5 shared G. Zhang· 4 shared H. Liu· 4 shared Y. Li· 4 shared A. Jousset· 3 shared F. Yang· 3 shared H. Li· 3 shared H. Wang· 3 shared

Activity by Year

2017-2024 · peak 14/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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5 shared papersCell Biology

X. Li

Mutual co-authors in cluster

Author profile →

34 papers

Recent·Most cited

Proteomic Profile of TGF-β1 treated Lung Fibroblasts identifies Novel Markers of Activated Fibroblasts in the Silica Exposed Rat Lung

N. Mao, H. Xu, F. Jin, D. Xu, D. Sales, H. Zhang, Z. Wei, S. Li, X. Gao, W. Cai, D. Li, G. Zhang, B. Zhang, L. Zhang, S. Li, , F. Yang

The paper identifies 196 differentially expressed proteins in TGF-β1-treated lung fibroblasts and finds that VLDLR and SDC2 are upregulated in silica-exposed lungs, with knockdown reducing collagen production.

bioRxiv · Oct 1, 2018Pharmacology & Toxicology

Deep learning achieves super-resolution in fluorescence microscopy

H. Wang, Y. Rivenson, Y. Jin, Z. Wei, R. Gao, H. Gunaydin, L. Bentolila, A. Ozcan

This paper introduces a deep learning method that achieves super-resolution in fluorescence microscopy without requiring numerical models or parameter tuning, successfully resolving images with low numerical aperture lenses and diffraction-limited confocal microscopy.

bioRxiv · Apr 27, 2018Bioengineering

Genome-wide prediction of synthetic rescue mediators of resistance to targeted and immunotherapy

A. Sahu, J. Sang Lee, G. Zhang, Z. Wang, T. Tian, T. Moll, G. Kasumova, B. Miao, Z. Wei, N. U. Nair, O. Ponomarova, A. Friedman, A. Amzallag, P. Greninger, R. Egan, , E. Ruppin

The paper predicts synthetic rescue mediators of resistance to targeted and immunotherapy using tumor transcriptomics and survival data from 10,000 TCGA patients, validating predictions through experimental screens.

bioRxiv · Apr 8, 2018Cancer Biology

Approach To Insect Wing Shape And Deformation Field Measurement

D. Yin, Z. Wei, Z. Wang

This paper develops a setup to measure insect wing shape and deformation fields, enabling analysis of stiffness distribution.

bioRxiv · Mar 22, 2017Zoology