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Genome Biology|May 27, 2020
Accounting for cell type hierarchy in evaluating single cell RNA-seq clusteringZhijin Wu, Hao WuMethods in Molecular Biology (Clifton, N.J.)|March 24, 2016
Experimental Design and Power Calculation for RNA-seq ExperimentsZhijin Wu, Hao WuBiostatistics (Oxford, England)|September 25, 2012
A new shrinkage estimator for dispersion improves differential expression detection in RNA-seq dataHao Wu, Chi Wang, Zhijin WuFrontiers in Genetics|April 26, 2021
Non-linear Normalization for Non-UMI Single Cell RNA-SeqZhijin Wu, Kenong Su, Hao WuBioinformatics (Oxford, England)|July 3, 2020
Simulation, power evaluation and sample size recommendation for single-cell RNA-seqKenong Su, Zhijin Wu, Hao WuBioinformatics (Oxford, England)|October 3, 2014
PROPER: comprehensive power evaluation for differential expression using RNA-seqHao Wu, Chi Wang, Zhijin WuBioinformatics (Oxford, England)|March 24, 2019
Dissecting differential signals in high-throughput data from complex tissuesZiyi Li, Zhijin Wu, Peng Jin, et al.Research Square|July 9, 2024
Target-Oriented Reference Construction for supervised cell-type identification in scRNA-seqXin Wei, Wenjing Ma, Zhijin Wu, et al.Genome Biology|June 10, 2025
TORC: Target-Oriented Reference Construction for supervised cell-type identification in scRNA-seqXin Wei, Wenjing Ma, Zhijin Wu, et al.Bioinformatics (Oxford, England)|April 25, 2018
Two-phase differential expression analysis for single cell RNA-seqZhijin Wu, Yi Zhang, Michael L Stitzel, et al.Pageof 777