Ming Hu
Staff
Quantitative Health Sciences
Cleveland Clinic Lerner Research Institute
United States of America
Biography
The overarching objective in my research is to conduct relevant, problem-oriented research through continual establishment of collaborations with experts from many disciplines. I have steadily sought to develop and promote systems science as a platform for transdisciplinary research
Research Interest
Bayesian analysis, Markov chain Monte Carlo methods, modeling and computation in bioinformatics and statistical genetics, next generation sequencing data analysis.
Publications
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Xu Z, Zhang G, Wu C, Li Y* and Hu M*. (2016) FastHiC: a fast algorithm to detect long-range chromosomal interactions from Hi-C data. Bioinformatics.
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Schmitt AD, Hu M* and Ren B*. (2016) Genome-wide mapping and analyses of chromosome architecture. Nature Reviews Molecular Cell Biology
