Author

H.-W. deng

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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Pathology· 2 Cell Biology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

C. Xu· 2 shared G. Yu· 2 shared H. Shen· 2 shared H.-M. Xiao· 2 shared K.-S. Wang· 2 shared X. Qiu· 2 shared X.-H. Meng· 2 shared Y. Chen· 2 shared

Activity by Year

2020-2021 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersPathology

C. Xu

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Discovery and functional assessment of a novel adipocyte population driven by intracellular Wnt/β-catenin signaling in mammals

Z. Liu, T. Chen, S. Zhang, T. Yang, Y. Gong, H.-W. deng, D. Bai, W. Tian, Y. Chen

The paper identifies and characterizes a novel adipocyte population with active Wnt/β-catenin signaling that influences beige fat formation and glucose homeostasis in mice.

bioRxiv · Jan 14, 2021Physiology

Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images

G. Yu, T. Xie, C. Xu, X.-H. Shi, C. Wu, K. Sun, R.-Q. Meng, X.-H. Meng, K.-S. Wang, H.-M. Xiao, H.-W. Deng

This paper develops a semi-supervised deep learning model for colorectal cancer recognition using pathological images, showing it outperforms supervised learning with limited labeled data and matches pathologists' performance.

bioRxiv · Jul 13, 2020Pathology

Single-cell RNA sequencing deconvolutes the in vivo heterogeneity of human bone marrow-derived mesenchymal stem cells

Z. Wang, X. Li, J. Yang, Y. Gong, H. Zhang, X. Qiu, Y. Liu, C. Zhou, Y. Chen, J. Greenbaum, L. Cheng, Y. Hu, J. Xie, X. Yang, Y. Li, , H.-W. deng

This study uses scRNA-seq to identify and characterize subtypes of human BM-MSCs in vivo, revealing their heterogeneity and potential differentiation trajectories.

bioRxiv · Apr 6, 2020 · PreprintCell Biology

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

K.-S. Wang, G. Yu, C. Xu, X.-H. Meng, J. Zhou, C. Zheng, Z. Deng, L. Shang, R. Liu, S. Su, X. Zhou, Q. Li, J. Li, J. Wang, K. Ma, , H.-W. Deng

This paper develops an AI tool for colorectal cancer diagnosis using histopathology images, achieving high accuracy and consistency across multiple centers.

bioRxiv · Mar 15, 2020Pathology