Author

Doudou Zhou

Harvard UniversityORCID 0000-0002-0830-2287Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:electronic health records· 2 Assay:ATAC-seq· 1 Assay:CUT&Tag· 1 Research Focus:deconvolution· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Tianxi CaiiD· 2 shared Yuri AhujaiD· 2 shared Chuan HongiD· 1 shared Jiehuan SuniD· 1 shared Liang LiangiD· 1 shared Qishi DongiD· 1 shared Shawn N. MurphyiD· 1 shared Shiyang MaiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersBioinformatics

Tianxi CaiORCID

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Author profile →

3 papers

Recent·Most cited

Deciphering Spatial Cellular Organization through RNA-Anchored Multi-Omics Deconvolution

Yihao Bai, Xingbo Guan, Shucun Xiong, Xia Guo, Xuanwu Wang, Siyu Yi, Wei Ju, Shiyang Ma, Doudou Zhou, Qishi Dong, wei liu

SMODER deconvolves spatial multi-omics data by prioritizing RNA for cell-type identification and integrating other modalities, improving accuracy and spatial coherence.

bioRxiv · Oct 15, 2026 · PreprintBioinformatics

Semi-supervised Calibration of Risk with Noisy Event Times (SCORNET) Using Electronic Health Record Data

Yuri Ahuja, Liang Liang, Doudou Zhou, Sicong Huang, Tianxi Cai

SCORNET estimates survival curves using EHR data with noisy event times and limited current status labels, achieving efficiency similar to Weibull regression with non-parametric flexibility.

Biostatistics · Jan 25, 2022Peer-reviewedBioinformatics

sureLDA: A Multi-Disease Automated Phenotyping Method for the Electronic Health Record

Yuri Ahuja, Doudou Zhou, Zhe He, Jiehuan Sun, Victor Manuel Castro, Vivian S. Gainer, Shawn N. Murphy, Chuan Hong, Tianxi Cai

sureLDA automates phenotype labeling in EHR data using topic modeling, achieving high accuracy and robustness across various phenotypes.

Journal of the American Medical Informatics Association · Apr 28, 2020Peer-reviewedBioinformatics