Hao Wu

According to our database, Hao Wu authored at least 24 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A cofunctional grouping-based approach for non-redundant feature gene selection in unannotated single-cell RNA-seq analysis.

Tao Deng, Siyu Chen, Ying Zhang, Yuanbin Xu, Da Feng, Hao Wu, Xiaobo Sun

Briefings Bioinform., March, 2023

2022

Differential RNA methylation analysis for MeRIP-seq data under general experimental design.

Zhenxing Guo, Andrew M. Shafik, Peng Jin, Hao Wu

Bioinform., October, 2022

EDClust: an EM-MM hybrid method for cell clustering in multiple-subject single-cell RNA sequencing.

Xin Wei, Ziyi Li, Hongkai Ji, Hao Wu

Bioinform., 2022

A comprehensive comparison of supervised and unsupervised methods for cell type identification in single-cell RNA-seq.

Xiaobo Sun, Xiaochu Lin, Ziyi Li, Hao Wu

Briefings Bioinform., 2022

2021

Complete deconvolution of DNA methylation signals from complex tissues: a geometric approach.

Weiwei Zhang, Hao Wu, Ziyi Li

Bioinform., 2021

Detecting m6A methylation regions from Methylated RNA Immunoprecipitation Sequencing.

Zhenxing Guo, Andrew M. Shafik, Peng Jin, Zhijin Wu, Hao Wu

Bioinform., 2021

Accurate feature selection improves single-cell RNA-seq cell clustering.

Kenong Su, Tianwei Yu, Hao Wu

Briefings Bioinform., 2021

2020

Simulation, power evaluation and sample size recommendation for single-cell RNA-seq.

Kenong Su, Zhijin Wu, Hao Wu

Bioinform., 2020

Robust partial reference-free cell composition estimation from tissue expression.

Ziyi Li, Zhenxing Guo, Ying Cheng, Peng Jin, Hao Wu

Bioinform., 2020

A comprehensive review of computational prediction of genome-wide features.

Tianlei Xu, Xiaoqi Zheng, Ben Li, Peng Jin, Zhaohui S. Qin, Hao Wu

Briefings Bioinform., 2020

2019

Differential methylation analysis for bisulfite sequencing using DSS.

Hao Feng, Hao Wu

Quant. Biol., 2019

Dissecting differential signals in high-throughput data from complex tissues.

Ziyi Li, Zhijin Wu, Peng Jin, Hao Wu

Bioinform., 2019

Disease prediction by cell-free DNA methylation.

Hao Feng, Peng Jin, Hao Wu

Briefings Bioinform., 2019

2018

Two-phase differential expression analysis for single cell RNA-seq.

Zhijin Wu, Yi Zhang, Michael L. Stitzel, Hao Wu

Bioinform., 2018

2017

Accounting for tumor purity improves cancer subtype classification from DNA methylation data.

Weiwei Zhang, Hao Feng, Hao Wu, Xiaoqi Zheng

Bioinform., 2017

2016

Measuring the spatial correlations of protein binding sites.

Yingying Wei, Hao Wu

Bioinform., 2016

Differential methylation analysis for BS-seq data under general experimental design.

Yongseok Park, Hao Wu

Bioinform., 2016

Experimental Design and Power Calculation for RNA-seq Experiments.

Zhijin Wu, Hao Wu

Proceedings of the Statistical Genomics - Methods and Protocols, 2016

2015

Predicting tumor purity from methylation microarray data.

Naiqian Zhang, Hua-Jun Wu, Weiwei Zhang, Jun Wang, Hao Wu, Xiaoqi Zheng

Bioinform., 2015

PROPER: comprehensive power evaluation for differential expression using RNA-seq.

Hao Wu, Chi Wang, Zhijin Wu

Bioinform., 2015

A novel statistical method for quantitative comparison of multiple ChIP-seq datasets.

Li Chen, Chi Wang, Zhaohui S. Qin, Hao Wu

Bioinform., 2015

2010

JAMIE: joint analysis of multiple ChIP-chip experiments.

Hao Wu, Hongkai Ji

Bioinform., 2010

2007

R/qtlbim: QTL with Bayesian Interval Mapping in experimental crosses.

Brian S. Yandell, Tapan Mehta, Samprit Banerjee, Daniel Shriner, Ramprasad Venkataraman, Jee Young Moon, W. Whipple Neely, Hao Wu, Randy von Smith, Nengjun Yi

Bioinform., 2007

2003

R/qtl: QTL Mapping in Experimental Crosses.

Karl W. Broman, Hao Wu, Saunak Sen, Gary A. Churchill

Bioinform., 2003