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ORCIDMing Hu 0001
Person information
- affiliation: Cleveland Clinic, Department of Quantitative Health Sciences, Lerner Research Institute, OH, USA
- affiliation: New York University School of Medicine, Division of Biostatistics, Department of Population Health, USA
- affiliation: Harvard University, Cambridge, Department of Statistics, MA, USA
- affiliation: University of Michigan, Center for Statistical Genetics, Department of Biostatistics, School of Public Health, MA, USA
Other persons with the same name
- Ming Hu — disambiguation page
- Ming Hu 0002
![[0000-0003-0900-7631]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0900-7631")
— University of Toronto, Rotman School of Management, Ontario, Canada (and 1 more) - Ming Hu 0003 — Nanyang Technological University (NTU), School of Computer Science and Engineering, Singapore (and 1 more)
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2020 – today
- 2023
[j13]Lindsay Lee, Miao Yu, Xiaoqi Li, Chenxu Zhu, Yanxiao Zhang, Hongyu Yu, Ziyin Chen, Shreya Mishra, Bing Ren, Yun Li, Ming Hu:
SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data. Briefings Bioinform. 24(5) (2023)- 2022
- [j12]Le Huang, Yuchen Yang, Gang Li, Minzhi Jiang, Jia Wen, Armen Abnousi, Jonathan D. Rosen, Ming Hu, Yun Li:
A systematic evaluation of Hi-C data enhancement methods for enhancing PLAC-seq and HiChIP data. Briefings Bioinform. 23(3) (2022) - 2020
- [j11]Rongrong Zhang, Ming Hu, Yu Zhu, Zhaohui S. Qin, Ke Deng, Jun S. Liu:
Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 647-656 (2020)
2010 – 2019
- 2019
- [j10]Ivan Juric, Miao Yu, Armen Abnousi, Ramya Raviram, Rongxin Fang, Yuan Zhao, Yan-Xiao Zhang, Yunjiang Qiu, Yuchen Yang, Yun Li, Bing Ren, Ming Hu:
MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments. PLoS Comput. Biol. 15(4) (2019) - 2018
- [j9]Zhe Sun, Ting Wang, Ke Deng, Xiao-Feng Wang, Robert Lafyatis, Ying Ding, Ming Hu, Wei Chen:
DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data. Bioinform. 34(1): 139-146 (2018) - 2017
- [j8]Joshua S. Martin, Zheng Xu, Alex P. Reiner, Karen L. Mohlke, Patrick F. Sullivan, Bing Ren, Ming Hu, Yun Li:
HUGIn: Hi-C Unifying Genomic Interrogator. Bioinform. 33(23): 3793-3795 (2017) - 2016
- [j7]Zheng Xu, Guosheng Zhang, Fulai Jin, Mengjie Chen, Terrence S. Furey, Patrick F. Sullivan, Zhaohui S. Qin, Ming Hu, Yun Li:
A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data. Bioinform. 32(5): 650-656 (2016) - [j6]Zheng Xu, Guosheng Zhang, Cong Wu, Yun Li, Ming Hu:
FastHiC: a fast and accurate algorithm to detect long-range chromosomal interactions from Hi-C data. Bioinform. 32(17): 2692-2695 (2016) - 2013
- [j5]Ming Hu, Ke Deng, Zhaohui S. Qin, Jesse R. Dixon, Siddarth Selvaraj, Jennifer Fang, Bing Ren, Jun S. Liu:
Bayesian Inference of Spatial Organizations of Chromosomes. PLoS Comput. Biol. 9(1) (2013) - [j4]Ming Hu, Ke Deng, Zhaohui S. Qin, Jun S. Liu:
Understanding spatial organizations of chromosomes via statistical analysis of Hi-C data. Quant. Biol. 1(2): 156-174 (2013) - 2012
- [j3]Ming Hu, Yu Zhu, Jeremy M. G. Taylor, Jun S. Liu, Zhaohui S. Qin:
Using Poisson mixed-effects model to quantify transcript-level gene expression in RNA-Seq. Bioinform. 28(1): 63-68 (2012) - [j2]Ming Hu, Ke Deng, Siddarth Selvaraj, Zhaohui S. Qin, Bing Ren, Jun S. Liu:
HiCNorm: removing biases in Hi-C data via Poisson regression. Bioinform. 28(23): 3131-3133 (2012) - 2010
- [j1]Zhaohui S. Qin, Jianjun Yu, Jincheng Shen, Christopher A. Maher, Ming Hu, Shanker Kalyana-Sundaram, Jindan Yu, Arul M. Chinnaiyan:
HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data. BMC Bioinform. 11: 369 (2010)
Coauthor Index
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