Ming Hu
Orcid: 0000-0003-0987-2916Affiliations:
- Cleveland Clinic, Department of Quantitative Health Sciences, Lerner Research Institute, OH, USA
- New York University School of Medicine, Division of Biostatistics, Department of Population Health, USA
- Harvard University, Cambridge, Department of Statistics, MA, USA
- University of Michigan, Center for Statistical Genetics, Department of Biostatistics, School of Public Health, MA, USA
According to our database1,
Ming Hu
authored at least 13 papers
between 2010 and 2023.
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Bibliography
2023
SnapHiC-D: a computational pipeline to identify differential chromatin contacts from single-cell Hi-C data.
Briefings Bioinform., September, 2023
2022
A systematic evaluation of Hi-C data enhancement methods for enhancing PLAC-seq and HiChIP data.
Briefings Bioinform., 2022
2020
Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
2019
MAPS: Model-based analysis of long-range chromatin interactions from PLAC-seq and HiChIP experiments.
PLoS Comput. Biol., 2019
2018
DIMM-SC: a Dirichlet mixture model for clustering droplet-based single cell transcriptomic data.
Bioinform., 2018
2017
2016
FastHiC: a fast and accurate algorithm to detect long-range chromosomal interactions from Hi-C data.
Bioinform., 2016
A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data.
Bioinform., 2016
2013
Understanding spatial organizations of chromosomes via statistical analysis of Hi-C data.
Quant. Biol., 2013
2012
Using Poisson mixed-effects model to quantify transcript-level gene expression in RNA-Seq.
Bioinform., 2012
2010
BMC Bioinform., 2010