Author

Zhengchao Luo

Peking UniversityORCID 0009-0005-4917-2967Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:scRNA-seq· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Dali HaniD· 1 shared Feifan Zhang· 1 shared Han Wen· 1 shared Jinzhuo WangiD· 1 shared Kai He· 1 shared Yawei ZhangiD· 1 shared Yin XuiD· 1 shared Yongge LiiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Dali HanORCID

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1 paper

Recent·Most cited

BioinformaticsGenome biologyPeer-reviewedJul 26, 2026

IDEAL-Age: an interpretable deep learning framework for single-cell resolution profiling of immunological aging

Yin Xu, Zhengchao Luo, Kai He…·Dali Han

IDEAL-Age is a deep learning framework that profiles immunological aging at single-cell resolution, showing improved predictive performance and revealing cellular contributions to aging processes.

2 citations

humanscRNA-seq

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