Author

Yongbing Zhao

Chinese Academy of Sciences

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Ge YangiD· 1 shared Guole LiuiD· 1 shared Jiekai CheniD· 1 shared Jinfeng ShaoiD· 1 shared Lihui LiniD· 1 shared Quanyou CaiiD· 1 shared Tianyu WangiD· 1 shared Xiao Hua WangiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Ge YangORCID

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2 papers

Recent·Most cited

SCARF: Single Cell ATAC-seq and RNA-seq Foundation model

Guole Liu, Yongbing Zhao, Yingying Zhao, Tianyu Wang, Quanyou Cai, Xiao Hua Wang, Ziyi Wen, Lihui Lin, Ge Yang, Jiekai Chen

SCARF is a foundation model for integrating single-cell ATAC-seq and RNA-seq data, achieving state-of-the-art performance in cell representation and cross-omics tasks.

bioRxiv · Apr 7, 2025 · PreprintBioinformatics

Assessment and Optimization of the Interpretability of Machine Learning Models Applied to Transcriptomic Data

Yongbing Zhao, Jinfeng Shao, Yan W. Asmann

This study evaluates and optimizes the interpretability of machine learning models applied to transcriptomic data by assessing explainers on MLP and CNN architectures and identifying tissue-specific genes.

bioRxiv · Feb 18, 2022 · PreprintBioinformatics