Author

Chengbin Hu

BGI Research

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· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1

Frequent Co-Authors

Chuan YeiD· 1 shared Dongyue YuiD· 1 shared Jiao Jin· 1 shared Jiayi LiiD· 1 shared Jinghua SuniD· 1 shared Liping ShuiD· 1 shared Qing ZhouiD· 1 shared Shuo Yan· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Chuan YeORCID

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2 papers

Recent·Most cited

Pathway-enhanced Transformer-based robust model for quantifying cell types of origin of cell-free transcriptome

Shuo Yan, Xuetao Tian, Yulong Qin, Jiayi Li, Tingyu Yang, Dongyue Yu, Wentao Liu, Jinghua Sun, Chengbin Hu, Qing Zhou, Zhongzhen Liu, Wenjing Wang

Deconformer improves cell type deconvolution of cell-free RNA by integrating biological pathways, showing better performance and interpretability across multiple datasets.

bioRxiv · Feb 28, 2024 · PreprintBioinformatics

A High Accurate Machine Learning Meta-Strategy for the Prediction of Intrinsically Disorder Proteins

Chengbin Hu, Yiru Qin, Chuan Ye, Jiao Jin, Ting Zhou, Zhixu He, Liping Shu

The paper proposes a machine learning meta-strategy to improve the prediction of intrinsically disordered proteins, achieving 93.35% single amino acid accuracy and 95.62% whole protein prediction.

bioRxiv · May 18, 2020 · PreprintBioinformatics